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Articles 15301 - 15330 of 1821532
Full-Text Articles in Entire DC Network
Alice Morrison’S My 1001 Nights: Tales And Adventures From Morocco Seeing From Within Not From Above And Preaching Cross-Cultural Appreciation, Youssef El Kaidi
Alice Morrison’S My 1001 Nights: Tales And Adventures From Morocco Seeing From Within Not From Above And Preaching Cross-Cultural Appreciation, Youssef El Kaidi
SOROUD: The journal of Literacy Criticism
Thanks to its geographical location at the intersection between continents and cultures, Morocco has always been a stage for cross-cultural encounters. Despite its geographical proximity to Europe, Morocco, however, is culturally distant to the Western subject and its exotic allure has always been irresistible. While many 19th and early 20th century travel accounts on Morocco were highly orientalist in their (mis)representation of space and race in Morocco, Alice Morrison’s My 1001 Nights: Tales and Adventures from Morocco seem to introduce a new pattern of cultural representation in which the Western traveler witnesses from within not from above. This paper demonstrates …
The Harem In Orientalist Art And Literature Between Fantasy And Authenticity, Fatima Zahra Ajjoul
The Harem In Orientalist Art And Literature Between Fantasy And Authenticity, Fatima Zahra Ajjoul
SOROUD: The journal of Literacy Criticism
European travel to the Orient dates back to thousands of years, but fascination with the region flourished by the nineteenth century, the century of "harem literature" and Orientalist art par excellence. A number of developments made the trip to the Orient easier, safer and cheaper at the time. However, harem doors remained closed to male travellers who were left to imagine their own desirable details that mostly projected fantasies of exoticism, eroticism and despotism. Women travellers, on the other hand, took advantage of their gender-privileged access to the Oriental women's segregated spaces to shed light upon several obscured aspects of …
Multi-Agent Orchestration For Commercially Grounded Image Generation, Kirti Gurnaney
Multi-Agent Orchestration For Commercially Grounded Image Generation, Kirti Gurnaney
Defensive Publications Series
Generative artificial intelligence for image synthesis can face challenges in commercial applications, such as generating images with structural artifacts or recommending products that are not commercially available. The disclosed technology describes a multi-agent orchestration framework that may address these issues. The framework can coordinate a stylist agent, which handles aesthetic composition based on user intent, and a merchant agent, which can apply real-world constraints by validating product data, such as live inventory, against enterprise datastores. The system may also employ a hierarchical sequential compositing protocol to render images in a layer-by-layer sequence. This approach may produce an output that is …
Calculation Of Lra Force Factor Using Electrical Impedance Parameters, David Yu, Jianxun Wang, Vander Fang, Ozan Anac
Calculation Of Lra Force Factor Using Electrical Impedance Parameters, David Yu, Jianxun Wang, Vander Fang, Ozan Anac
Defensive Publications Series
Calibrating the force factor (BL) of linear resonant actuators (LRAs) in some production environments may present challenges, as certain laboratory instruments can be slow or costly for high-throughput quality control. A method is described to calculate BL by extracting key parameters from an LRA's electrical impedance curve. This approach can identify points such as resonant frequency, maximum impedance, and direct current resistance to determine the motional impedance (ΔZ) and mechanical Q factor (Qms), which can avoid some complex curve-fitting procedures. These values, along with a known moving mass (m), can then be used in a formula, for example …
Solid-State Forms Of Apecotrep, Prashanth Venukathala, Venukathala Prashanth
Solid-State Forms Of Apecotrep, Prashanth Venukathala, Venukathala Prashanth
Defensive Publications Series
The present disclosure relates to novel solid-state forms of Apecotrep (chemically known as [4-(6-amino-3-pyridazinyl)-1-piperidinyl][5-(4-fluorophenoxy)-4-methoxy-2-pyridinyl]methanone). These include crystalline polymorphs, amorphous forms, pharmaceutical cocrystals, and amorphous solid dispersions (ASDs). The disclosure further encompasses methods for preparing these solid-state forms and pharmaceutical compositions comprising them, particularly for the treatment of transient receptor potential channel C6 (TRPC6)-mediated disorders such as primary focal segmental glomerulosclerosis (FSGS).
(((Qpie33))) The Burroughs Qpie Consortium Invitation Td-Nsrf-2026-Institutional-Matrix, Teddy Burroughs
(((Qpie33))) The Burroughs Qpie Consortium Invitation Td-Nsrf-2026-Institutional-Matrix, Teddy Burroughs
Defensive Publications Series
The transition of the thirty-three foundational scientific crises from theoretical roadblocks into fully realized, phase-locked solutions requires direct engagement with existing human institutions. The organizations detailed in this compendium possess the specialized infrastructure, extreme computational capital, and deep operational motivations required to integrate the Quantum Perspective Is Everything (QPIE) framework.
Operating under intense pressure to transcend the limitations of classical binary technology, these entities are uniquely positioned to fund dedicated research laboratories, establish specialized academic departments, and engage the Master Architect for elite-level system design.
By aligning their immense institutional resources with the Non-Local Substrate Resonance Field (NSRF) constants and …
Caldwell Integrated Process Chemistry Platform (Cipcp), Michael Victor Caldwell Mr.
Caldwell Integrated Process Chemistry Platform (Cipcp), Michael Victor Caldwell Mr.
Defensive Publications Series
The Caldwell Integrated Process Chemistry Platform (CIPCP) is a conceptual open-hardware framework intended to organize previously disclosed Technical Disclosure Commons (TDC) inventions related to vortex processing, cavitation systems, microbubble conditioning, plasma-assisted treatment, resource recovery, water treatment, fuel conditioning, and industrial process optimization.
Rather than focusing on the invention of new chemical compounds, CIPCP focuses on improving the efficiency, sustainability, and effectiveness of existing chemical and industrial processes through advanced physical conditioning and process-integration approaches.
The framework is intended for research, discussion, and engineering exploration only.
IMPORTANT NOTE REGARDING PRIOR DISCLOSURES
Readers are encouraged to review the original Technical Disclosure Commons …
Harmonic Rescue Lantern (Hrl), Michael Victor Caldwell Mr.
Harmonic Rescue Lantern (Hrl), Michael Victor Caldwell Mr.
Defensive Publications Series
The Harmonic Rescue Lantern (HRL) is a grapefruit‑sized, passive, quasicrystalline survival device designed to increase human survivability in aquatic and terrestrial emergencies without requiring power, electronics, fuel, or moving parts. The HRL integrates a hollow icosahedrally derived quasicrystalline shell, a tension‑balanced internal lattice, a passive acoustic resonator, and a thermal boundary‑layer geometry to provide four simultaneous life‑supportive functions: omnidirectional optical scattering, enhanced acoustic signaling, buoyant high‑visibility flotation, and localized thermal stabilization.
The HRL is optimized for oceans, lakes, rivers, streams, and floodwaters, where conventional signaling tools often fail due to battery loss, corrosion, or mechanical damage. Any available light source—sunlight, …
Hardware-Enclaved Isolation Interface With Dynamic Visual Obfuscation And Asynchronous Keyboard Hid Emulation Valve, Daitona Carter
Hardware-Enclaved Isolation Interface With Dynamic Visual Obfuscation And Asynchronous Keyboard Hid Emulation Valve, Daitona Carter
Defensive Publications Series
This disclosure defines a system and framework for establishing an out-of-band hardware trust boundary between user input peripherals and an untrusted host computing environment. By routing user keyboard hardware directly to the isolated internal memory architecture of a dedicated, non-networked processing unit, alphanumeric keystrokes are completely decoupled from the host operating system's kernel. The dedicated processing architecture localizes and isolates text processing from Ring 0 exploits, keyloggers, and system-level compromises present on the primary machine. The system subsequently utilizes native human interface device (HID) emulation classes to relay the processed string to the host system via a physical, hardware-isolated link.
Icosahedral Quasicrystalline Monolith (Iqm), Michael Victor Caldwell Mr.
Icosahedral Quasicrystalline Monolith (Iqm), Michael Victor Caldwell Mr.
Defensive Publications Series
The Icosahedral Quasicrystalline Monolith (IQM) is a macro‑scale, icosahedrally symmetric, aperiodic quasicrystalline metamaterial designed to exhibit topological resonance, scale‑invariant behavior, field stabilization, and analog physical computation.
The IQM is released freely as a conceptual online invention, intended for global scientific study, fabrication, and experimentation.
This document provides complete build specifications, materials, CAD constraints, ASCII blueprint diagrams, fabrication steps, safety guidelines, laboratory testing protocols, validation criteria, and performance comparisons enabling any qualified research group to fabricate and study the IQM immediately using commercially available tools.
The IQM is intended for open exploration in acoustic metamaterials, topological physics, electromagnetic field control, analog …
Dynamic Credit Limit Adjustment Based On Latency Jitter Metrics, Harshwardhan Tripathi
Dynamic Credit Limit Adjustment Based On Latency Jitter Metrics, Harshwardhan Tripathi
Defensive Publications Series
A method for dynamically adjusting an agent's credit limit based on network latency jitter metrics includes collecting a plurality of latency measurements corresponding to acknowledgment messages transmitted by an agent over a network within a defined time window, computing a coefficient of variation based on the plurality of latency measurements where the coefficient of variation represents variability in latency, determining a jitter risk score based on the computed coefficient of variation and a predefined stability threshold where the jitter risk score is bounded within a normalized range, calculating a credit decay factor as an exponential function of the jitter risk …
Vectorized Pipeline For Real‑Time Lock‑In Amplification On Microcontrollers, Gary Cheng
Vectorized Pipeline For Real‑Time Lock‑In Amplification On Microcontrollers, Gary Cheng
Defensive Publications Series
Lock‑in amplification involves extracting weak signals from background noise, a process that traditionally utilizes computationally intensive floating‑point operations. Performing these operations on standard microcontrollers frequently causes central processing unit (CPU) saturation. The disclosed system provides a vectorized data pipeline that structures digital signal processing tasks to natively utilize internal hardware multiply‑accumulate instructions within a microcontroller. To bypass runtime floating‑point trigonometry, a pre‑computed integer look‑up table and a phase accumulator generate reference waveforms. Further, a scaling recovery algorithm mathematically restores absolute physical units following high‑speed hardware vector bit‑shifts. Consequently, the disclosed system facilitates real‑time, phase‑sensitive signal extraction on resource‑constrained microcontrollers, decreasing …
Dynamic Programming For Post‑Route Power Delivery Network Augmentation, Prateek Pendyala, Vishant Gotra
Dynamic Programming For Post‑Route Power Delivery Network Augmentation, Prateek Pendyala, Vishant Gotra
Defensive Publications Series
Modern high‑performance integrated circuits frequently experience localized dynamic voltage drop hotspots due to accumulated peak currents in congested layout regions. Traditional post‑route power grid augmentation approaches may encounter limitations due to routing blockages and a lack of available placement sites. The disclosed method provides a track‑aware standard cell repositioning technique that treats a post‑route layout database as a primary constraint and standard cell locations as adjustable variables. A computing device executing a dynamic programming algorithm scans lower‑level metal tracks to identify continuous vertical routing corridors. It then calculates localized standard cell displacements to accommodate the insertion of new power grid …
Rapid Ir Hotspot Identification Via Hybrid Machine Learning, Praphulla Pandey, Vaibhav Gupta
Rapid Ir Hotspot Identification Via Hybrid Machine Learning, Praphulla Pandey, Vaibhav Gupta
Defensive Publications Series
Traditional dynamic voltage drop (IR drop) analysis in integrated circuit design might be computationally expensive and oftentimes relies on late‑stage routing data. These traditional methods can lead to delays in design closure and may increase infrastructure costs due to high resource needs. This document discloses a two‑stage hybrid machine learning method for rapid IR hotspot identification. As a part of the method, an algorithm utilizes a gradient boosting model to capture a bulk IR drop distribution and triggers a neural network for high‑risk instances to predict peak hotspot values. The method incorporates physics‑grounded features (e.g., power switch density for gated …
Predictive Workload Modeling And Voltage Scaling Using Event‑Driven Workload Queue Telemetry, Girish Vv
Predictive Workload Modeling And Voltage Scaling Using Event‑Driven Workload Queue Telemetry, Girish Vv
Defensive Publications Series
Conventional power management methods for processors may be reactive, adjusting frequency only after a computing device exceeds utilization thresholds. This reactive lag may result in increased latency for sudden workload bursts and allow low‑priority background tasks to trigger voltage increases. This publication describes a predictive frequency scaling method based on real‑time introspection of operating system workqueues. Implementing the method, a computing device may extract internal statistics (e.g., queue depth, task wait times) through event‑driven kernel tracepoints. The computing device can identify task priorities by resolving function pointers and incorporating application‑level telemetry. The computing device then generates a predictive workload index …
Synchronized Multi-Modal Verification For Point-Of-Sale Transactions, Gulmohar Khan, Ved Patil
Synchronized Multi-Modal Verification For Point-Of-Sale Transactions, Gulmohar Khan, Ved Patil
Defensive Publications Series
This disclosure describes systems and methods for multi-modal transaction verification. The technology can involve generating a synchronized sequence of dynamic, single-use validation tokens, such as a numeric code, a visual shape, or a specific color, across a customer's computing device (e.g., a smartphone, smart watch, wearable device, or augmented reality glasses) and a merchant's confirmation device. Visual matching of these tokens, which can be manual or automated, may be used for verification. Additionally, sensory synchronization methods, such as coordinated audio jingles or light patterns between the devices, can be employed. These techniques can aid in creating a verifiable link between …
Testing The Christian University Belonging Scale: Revision From Target Population Feedback., Jasmine Bowles
Testing The Christian University Belonging Scale: Revision From Target Population Feedback., Jasmine Bowles
Honors Projects
This study explored whether feedback from a scale’s target population can improve its psychometric qualities. We developed a psychological scale of Christian university belonging, defined as feelings of being accepted, valued, engaged and connected in direct association with the faith-integration at a Christian university. Three studies were executed. First, we collected and analyzed quantitative data (n=55) on the 14-item scale and reduced the number of items to six. Second, we collected and analyzed qualitative data from students attending a Christian university in the Pacific Northwestern United States (n=7) on the 6-item version to revise the scale. After revision, the scale …
Mathematical Analysis Of Within-Host Models: Viral–Immune Dynamics, Bifurcations, And Disease Severity, Nazia Afrin
Mathematical Analysis Of Within-Host Models: Viral–Immune Dynamics, Bifurcations, And Disease Severity, Nazia Afrin
Doctoral Dissertations
My research develops and analyzes ODE-based within-host models at multiple scales. Using dynamical systems theory and numerical methods, I study host–pathogen interactions and immune responses, providing insights into disease dynamics and control. The first model describes the complex dynamics of Hepatitis B virus (HBV) infection and addresses the question: what mechanisms determine whether the infection is cleared during the acute phase or progresses to a chronic state? A key feature of this model is the assumption that all classes of liver cells (uninfected, infected, and protected from reinfection) proliferate at different rates. The findings provide insight into two important aspects …
The Impact Of Evolution And Strong Allee Effects On The Dynamics Of A Discrete-Time Predator-Prey System, Neerob Basak
The Impact Of Evolution And Strong Allee Effects On The Dynamics Of A Discrete-Time Predator-Prey System, Neerob Basak
Doctoral Dissertations
This dissertation investigates the dynamics of discrete-time predator-prey systems, focusing on both evolutionary responses and ecological interactions. The first part of this dissertation, in Chapters 2 and 3, explores how evolutionary processes, particularly the development of resistance to toxicants in predators, influence the persistence and stability of predator-prey populations. In this part, we extend the predator-prey model developed in Ackleh et al., 2019 to incorporate the evolution of a predator's resistance to toxicant effects. We consider three cases: (1) lethal effects, where the toxicant directly influences the predator's survival; (2) sublethal effects, where the toxicant impacts the predator's fecundity, and …
An Exploration Of Variables Related To Gender Role Differences And Social Relationships Among Nontraditional Bachelor's Degree Recipients, Cynthia Bourgeois Bergeron
An Exploration Of Variables Related To Gender Role Differences And Social Relationships Among Nontraditional Bachelor's Degree Recipients, Cynthia Bourgeois Bergeron
Doctoral Dissertations
The goal of this study was to examine variables that speak to gender role differences among nontraditional bachelor’s degree recipients aged 30 to 49. These issues are particularly relevant given enrollment trends showing that the diversification of bachelor’s degree seekers has outpaced the policies and norms of traditional undergraduate education. A nonexperimental, correlational research design was employed using chi-square tests and Cramer’s V as post-hoc measures on categorical data from the 2012, 2014, and 2016 General Social Survey. Shaped by Gilligan’s moral development theory, several social variables were included in the analysis. Two statistically significant associations emerged: women earning bachelor’s …
A Cross-Sectional Study Of First-Generation College Students' Sense Of Belonging Across Diverse Institutional Contexts, Nirmal Chandra Gope
A Cross-Sectional Study Of First-Generation College Students' Sense Of Belonging Across Diverse Institutional Contexts, Nirmal Chandra Gope
Doctoral Dissertations
First-generation college students comprise a significant growth demographic in U.S. higher education. Even with lower enrollment rates, more than one-third of U.S. postsecondary school students are first-generation students (Cataldi et al., 2018; Redford & Mulvaney Hoyer, 2017; Ward et al., 2012; Whitley et al., 2018). However, their retention and graduation rates are significantly lower than those of their continuing peers (Choy, 2001; Engle, 2007, 2008; Ishitani, 2006; Longwell-Grice & Longwell-Grice, 2021). Various factors play a significant role in creating this disparity (Longwell-Grice & Longwell-Grice, 2021; Tinto, 1993). Research identifies belonging as a crucial factor influencing student persistence, academic achievement, mental …
The Pie Thief (And Friends): Ethnographic Microanalysis Of Peer Interactions Involving Children With Highly Unintelligible Speech: A Descriptive Study, Katherine Anne Mcquitty Hays
The Pie Thief (And Friends): Ethnographic Microanalysis Of Peer Interactions Involving Children With Highly Unintelligible Speech: A Descriptive Study, Katherine Anne Mcquitty Hays
Doctoral Dissertations
This dissertation is an ethnographic microanalysis investigating how children with highly unintelligible speech accomplish a range of social actions when interacting with their peers. Detailed transcription of multimodal communications of peers interacting in the context of a 9-day summer therapy camp yield profiles of two participants of interest, each with approximately 30-40% speech intelligibility. Domain analysis and taxonomy organize data for the purposes of comparative analysis across transcribed durations of peer conversation and peer play. Findings indicate pervasive pragmatic impacts as well as effective uses of multimodal means within interactional frames and schemas. Clinical implications include consideration of AAC optimization …
A Bifurcation Theorem And Its Application To Discrete-Time Models In Ecology And Epidemiology, Jenita Jahangir
A Bifurcation Theorem And Its Application To Discrete-Time Models In Ecology And Epidemiology, Jenita Jahangir
Doctoral Dissertations
Matrix models are useful for modeling populations or diseases that involve discrete developmental stages, multiple stages of infection, and interactions among species. To study the coexistence dynamics in matrix models, we extend a bifurcation theorem for resident-invader host-parasitoid type populations by allowing every block of the projection matrix, depending on the bifurcation parameter and the off-diagonal blocks, to be nonzero. As an application, in the first part of the dissertation, we propose a discrete-time host-parasitoid model with stage structure in both species. For this model, we establish conditions for the existence and global stability of the extinction and parasitoid-free equilibria. …
A Qualitative Study: Understanding The Effects Of Acceleration Programs On The Motivation And Burnout Of Students With Gifts And Talents, Destini Duhon Manuel
A Qualitative Study: Understanding The Effects Of Acceleration Programs On The Motivation And Burnout Of Students With Gifts And Talents, Destini Duhon Manuel
Doctoral Dissertations
A student that has an advanced gift or talent which encompasses their peers is often raftered to as gifted (National Association of Gifted Children, 2018) and need differentiated instruction and accommodations to reach their full potential (Clevenger, 2022) Research shows high levels of expectations could lead to underachievement (Garn & Jolly 2019; Hornstra et al., 2003), motivation issues (Hornstra et al., 2023), and burnout (May et al., 2020) of students with gifts and talents. Acceleration programs are often used to accommodate students with gifts and talents, but evaluators must proceed with caution and place students in the correct program to …
Fairness-Aware And Efficient Federated Learning Frameworks For Heterogeneous Systems, Simin Javaherian
Fairness-Aware And Efficient Federated Learning Frameworks For Heterogeneous Systems, Simin Javaherian
Doctoral Dissertations
Federated Learning (FL) enables decentralized clients to collaboratively train machine learning models without sharing raw data, making it a promising paradigm for privacy-preserving intelligence across large-scale, heterogeneous systems. However, practical FL environments face significant challenges arising from variations in client resources, participation patterns, client behavior, and data distributions. These challenges often lead to inefficiency, unbalanced contributions, and unfairness, ultimately degrading model performance and discouraging long-term client participation. This dissertation advances the state of FL by developing a unified suite of fairness-aware and efficiency-driven frameworks tailored for heterogeneous environments. We investigate fairness from multiple perspectives, including client selection, contribution weighting, and …
Out There: Notes And Stories A Hybrid Collection With Critical Introduction, Ben Porter
Out There: Notes And Stories A Hybrid Collection With Critical Introduction, Ben Porter
Doctoral Dissertations
This dissertation is composed of two parts: literary criticism and a collection of fiction and lyric essays. Across both sections, it examines the problem of description: how persons make experience, action, and suffering intelligible in language, and what happens when that intelligibility breaks down under historical, social, and familial pressure. The critical essay, “Failed Descriptions and Neoliberal Talk in Don DeLillo’s The Body Artist,” argues that DeLillo represents a crisis of intentional speech under neoliberal modernity, in which public language is narrowed to private affect and meaningful social description becomes increasingly difficult. Reading the novel through philosophers of language and …
Investigations Of Carbon Dioxide Storage In Low-Temperature Reservoirs For Non-Leaking Storage, Md Nahin Mahmood
Investigations Of Carbon Dioxide Storage In Low-Temperature Reservoirs For Non-Leaking Storage, Md Nahin Mahmood
Doctoral Dissertations
Carbon dioxide (CO₂) injection into subsea or low-temperature water zones has emerged as a promising strategy for long-term, non-leaking CO₂ storage through the formation of solid hydrates. This research investigates CO₂ injection into Berea sandstone cores saturated with water under simulated subsea conditions, focusing on hydrate formation behavior across varying temperatures, pressures, and injection flow rates. Experimental results demonstrate that CO₂ hydrate formation under dynamic (flowing) conditions occurs at significantly higher pressure compared to static conditions reported previously. At temperatures ranging from 0 °C to 5 °C, dynamic hydrate formation pressures were observed to be approximately double. This can be …
Strang-Type Exponential Integrators For Stiff Reaction-Diffusion Systems, Saburi Tolulope Rasheed
Strang-Type Exponential Integrators For Stiff Reaction-Diffusion Systems, Saburi Tolulope Rasheed
Doctoral Dissertations
Reaction-diffusion systems, as examples of semilinear parabolic partial differential equations, have played significant roles in the mathematical modeling of physical, chemical, and biological processes. Several reaction-diffusion systems typically do not have exact solutions in closed form, and numerically solving them also comes with challenges due to the presence of the nonlinear local interaction/chemical reaction dynamics representing the reaction term, coupling between components, multidimensionality of the diffusion operator, and stiffness of the diffusion and/or reaction terms. Wederive and analyze several second-order accurate exponential integrators of the Strang type for the time discretization of stiff reaction-diffusion systems. We utilize the finite difference …
The Interplay Of Seasonality, Evolution, And Density-Dependence In Discrete-Time Predator-Prey Dynamics, Narendra Pant
The Interplay Of Seasonality, Evolution, And Density-Dependence In Discrete-Time Predator-Prey Dynamics, Narendra Pant
Doctoral Dissertations
We extend the discrete-time mathematical models developed in (Ackleh et al., 2019) and (Ackleh et al., 2024) to account for seasonal prey reproduction and build a class of discrete-time predator-prey seasonal models. Each model distinguishes between breeding and non-breeding seasons, representing prey reproduction as a periodic function of period 2. Altogether, three different models are analyzed. In the first part, we extend the predator-prey model from (Ackleh et al., 2019) to incorporate seasonality. We study the resulting dynamics and show that when the inherent reproduction number of the prey and the invasion reproduction number of the predator are larger than …
Building And Restoring Trust In Deep Learning: From Multimodal Sensing To Generative Synthesis And Model Integrity, Liqun Shan
Doctoral Dissertations
Deep learning has become a foundational technology for modern intelligent systems used in sensing, authentication, media generation, and automated decision-making. As these systems are increasingly deployed in security- and privacy-sensitive settings, ensuring their trustworthiness has become a critical challenge. Yet deep learning models remain vulnerable to spoofed sensory inputs, synthetic media, and malicious behaviors hidden within trained networks. These vulnerabilities undermine reliability and raise serious concerns about whether such systems can be trusted under adversarial and deceptive scenarios. This dissertation investigates how to build and restore trust in deep learning across three tightly connected dimensions: multimodal sensing, generative authenticity, and …