Front Matter

Communal Societies

No abstract provided.

Contents

Communal Societies

No abstract provided.

Responsive User Interfaces Based On Task Criticality And User Context, Piyush Arora, Colby Hawker, Shantanu Pai, Ram Vivekananda, Wendy Yun, Jaime Sonoda

Defensive Publications Series

Responsive user interfaces enable dynamically adjusting user interfaces based on device-specific aspects such as screen size, aspect ratio, display resolution, etc. However, traditional responsive design fails to account for different types of constraints of a user and task criticality of the task being performed via the UI. Misalignment between the UI design, user context and task criticality can lead to user error. This disclosure describes techniques, implemented with user permission, for dynamically modifying the layout, information density, and/or interactive physics of a user interface based on a dual-factor analysis of user cognitive state and task criticality. The user's cognitive state …

Protecting Journalism From National Security In Contemporary India, Manish .

National Law School of India Review

Freedom of the press is an important element of a robust democracy. In India, press freedom lacks statutory protection, leaving constitutional protection under Article 19(1)(a) as the only remedy. In recent years, the use of anti-terror laws against journalists investigating alleged lapses or excesses by the state has posed a particular threat to press freedom, given the largely minimalist and statist interpretation that the Supreme Court of India has given to these laws. This has been compounded by the election and re-election of an autocratic populist government to Parliament, which has sought to use law as a means of ensuring …

Methods And Systems For Modifying Intron Sequences To Remove Restriction Sites While Preserving Gene Accumulation Enhancement In Transgenic Plants, Cory Tobin

Defensive Publications Series

The present invention provides methods and systems for modifying intron sequences to enable their use in modular cloning (MoClo) systems while preserving their ability to enhance gene accumulation. The invention addresses a critical challenge in molecular cloning where beneficial introns contain restriction enzyme recognition sites that interfere with MoClo assembly. The methods include computational approaches for identifying minimal sequence modifications needed to eliminate restriction sites while maintaining intron functionality, experimental validation protocols for confirming preserved enhancement properties, and high-throughput screening systems for rapidly assessing multiple intron variants. In particular embodiments, the invention demonstrates successful modification of introns for enhanced accumulation …

Ground-Isolation Power Switching For Multi-Source Dc Inputs Via Mechanical Shunt, Pellumb Bara

Defensive Publications Series

This disclosure describes a simplified power-management circuit for electronic devices with dual power inputs (e.g., USB-C and DC Barrel Jack). It utilizes the internal mechanical shunt of a standard DC barrel jack to physically disconnect the ground path of the secondary power source (USB-C) when an external power adapter is inserted. This provides galvanic isolation between power sources without the need for active semiconductors or complex comparator circuits.

The Online Advertising System That Provides Web Services And Web Related Services Where The Advertising Revenue Is Utilized In The Generation Of The Providing Services., Punarjeewa Abeysekera

Defensive Publications Series

This paper describes an online advertising system that provides web services and web related services where the advertising revenue is utilized in the generation of the providing services. The online advertising system consists of a server facility that have the capability to receive and provide content online, a group of advertising content providing business entities and a group of advertising content watching and free web services and free web related services consuming client entities. An entity who will utilize the online advertising system can concurrently function as an advertising content providing business entity and as an advertising content watching and …

Belief Hijacking Attacks On Ai Defenders: “Manipulating What Ai Systems Believe About Threats, Actors, And Risks”, Pranav Bhatanagar Mr

Defensive Publications Series

Artificial intelligence systems are increasingly deployed as autonomous defenders in modern cybersecurity environments. These systems continuously analyze network behavior, evaluate threat intelligence, assess risk levels, and recommend or execute defensive actions. Central to their effectiveness is the formation of internal beliefs regarding attacker intent, infrastructure trustworthiness, vulnerability severity, and operational priority. While existing research has focused on attacks that manipulate detection accuracy, evade classifiers, or bypass response mechanisms, far less attention has been given to vulnerabilities in belief formation processes themselves. This paper introduces Belief Hijacking Attacks, a novel class of adversarial strategies that target how AI defenders construct, update, …

Trust Amplification Exploits In Human To Ai Security Teams Abusing Overconfidence In Automated Recommendations, Pranav Bhatanagar Mr

Defensive Publications Series

Human–AI collaboration has become a central component of modern cybersecurity operations. Security analysts increasingly rely on automated systems for threat detection, risk assessment, and incident response. While this collaboration improves efficiency and scalability, it also introduces new vulnerabilities associated with human trust in machine generated recommendations. This paper introduces Trust Amplification Exploits, a novel class of adversarial strategies that manipulate and exploit overconfidence in AI-assisted security workflows. Rather than targeting algorithms directly, these attacks leverage repeated system accuracy, interface design, and organizational dependence to amplify human reliance on automated outputs. Over time, excessive trust reduces critical evaluation and increases susceptibility …

Reality Distortion Attacks On Autonomous Security Agents: Manipulating Internal World Models In Ai Defenders, Pranav Bhatanagar Mr

Defensive Publications Series

Autonomous artificial intelligence systems are increasingly deployed as primary defenders in modern cybersecurity environments. These systems rely on internal world models to interpret network behavior, assess threats, and guide automated response. While existing research has focused extensively on attacks that manipulate inputs, outputs, and learning processes, limited attention has been given to threats that target internal perception. This paper introduces Reality Distortion Attacks, a novel class of adversarial strategies that manipulate how autonomous security agents model and understand their operational environment. Rather than inducing immediate misclassification, these attacks gradually reshape situational awareness by influencing sensor inputs, feedback mechanisms, contextual signals, …

Epistemic Corruption Attacks: Poisoning What Ai Security Systems “Know” Rather Than What They “Do”, Pranav Bhatanagar Mr

Defensive Publications Series

As artificial intelligence becomes central to modern cybersecurity operations, defensive systems increasingly rely on internal knowledge representations, long-term memory modules, and retrieval-based reasoning mechanisms. These components enable adaptive learning and contextual awareness, but they also introduce a largely unexamined security vulnerability: the integrity of what the system knows. Existing research on AI security has primarily focused on attacks that manipulate outputs, bypass detection mechanisms, or compromise execution pathways. Far less attention has been given to attacks that corrupt internal knowledge structures themselves. This paper introduces Epistemic Corruption Attacks, a novel class of adversarial strategies that target the belief systems, embeddings, …

Interpretation Attacks: Exploiting How Ai Explains And Justifies Decisions (Turning Explainability Itself Into An Attack Surface), Pranav Bhatanagar Mr

Defensive Publications Series

Explainable Artificial Intelligence (XAI) systems are widely promoted as mechanisms for increasing transparency, trust, and accountability in automated decision-making. By providing human-readable explanations for model outputs, these systems are intended to support oversight, regulatory compliance, and informed human judgment. However, the growing reliance on automated explanations has created a previously overlooked security risk: the explanations themselves can be manipulated, exploited, and weaponized. This paper introduces Interpretation Attacks, a class of adversarial strategies that target how AI systems generate, present, and justify their decisions. Rather than manipulating model predictions directly, these attacks exploit the interpretability layer to influence human perception, distort …

Intent-Obfuscation Attacks: Evading Ai Security By Manipulating Meaning, Pranav Bhatanagar Mr

Defensive Publications Series

As artificial intelligence systems increasingly rely on intent-based security mechanisms to regulate user behavior, the nature of adversarial interaction is undergoing a subtle but significant shift. Rather than attempting to bypass safeguards through explicit policy violations or recognizable malicious patterns, attackers are increasingly manipulating meaning itself. This paper introduces Intent-Obfuscation Attacks, a class of semantic evasion techniques that exploit the gap between surface-level language compliance and the underlying objectives inferred by AI systems. Unlike traditional prompt injection or keyword-based attacks, intent-obfuscation operates through linguistic ambiguity, contextual indirection, and gradual semantic drift. Individual interactions appear benign and policy-compliant, yet when interpreted …

Ai Supply-Chain Pentesting: Attacking Models Through Training, Updates, And Dependencies (Hacking Ai Without Touching Production Systems.), Pranav Bhatanagar Mr

Defensive Publications Series

As artificial intelligence systems become embedded in critical decision-making workflows, security research has largely focused on defending models at runtime. Attention has centered on prompt injection, inference-time abuse, and output manipulation, implicitly assuming that models arrive in production as trustworthy artifacts. This assumption is increasingly fragile. Modern AI systems are assembled through complex and opaque supply chains involving datasets, pre-trained models, fine-tuning pipelines, dependency ecosystems, and automated update mechanisms. Each stage introduces opportunities for adversarial influence that remain largely unexplored by conventional security testing. This paper examines AI security from a supply-chain perspective, arguing that many impactful compromises occur upstream, …

Ai-Based Pentesting Of Ai Systems Recursive Security Failures, Pranav Bhatanagar Mr

Defensive Publications Series

The rapid adoption of artificial intelligence within cybersecurity has fundamentally altered both defensive and offensive security practices. In recent years, AI driven tools have increasingly been deployed not only to protect systems, but also to test them. Automated scanners, autonomous red teaming agents, and AI assisted penetration testing platforms are now capable of probing complex infrastructures at a speed and scale that far exceed human capability. At the same time, modern production environments themselves are becoming increasingly dependent on AI based components, including adaptive intrusion detection systems, behavioural firewalls, anomaly detection engines, and large language model driven control interfaces. This …

Financing Corporate Insolvency Resolution Processes: The Failed Promise Of Interim Finance, Anoop Rawat, Mohana Nijhawan, Vanshika Sharma

National Law School Business Law Review

No abstract provided.

Hallucination-Driven Exploits: Weaponizing Ai False Confidence In Cybersecurity Systems, Pranav Bhatanagar Mr

Defensive Publications Series

Artificial intelligence systems, particularly large language models, are now routinely used in operational cybersecurity environments. They assist analysts with alert triage, incident response, threat intelligence interpretation, and day-to-day decision-making in situations where information is incomplete and time pressure is constant. Much of the existing research on AI security has focused on direct attacks such as prompt injection, jailbreaks, or data poisoning. In contrast, this paper examines a quieter but increasingly consequential risk: the impact of confident hallucinations in security-critical contexts. When AI systems provide incorrect guidance with high confidence, the resulting decisions can materially affect defensive posture even when no …

Effective Data Obfuscation With Scope And Address Range Preservation, Mariusz Kaźmierski

Defensive Publications Series

This submission proposes a novel data obfuscation technique that preserves critical network scope and address ranges, addressing enterprise concerns over privacy and compliance with regulations like General Data Protection Regulation (GDPR) while providing necessary insights and structure for network equipment vendors to properly analyze network data. Unlike previous solutions, the proposed technique maintains network integrity by intelligently handling broadcast, reserved, and well-known Internet Protocol (IP) addresses. This intelligent handling enables secure, compliant data sharing for proactive support, giving enterprises confidence without sacrificing control, and also provides for the ability to capture data for artificial intelligence (AI) workflows and to support …

Dynamic Content Playback Speed Adjustment Based On Content Classification And User History, Pratap Kalenahalli Sudarshan

Defensive Publications Series

Content sharing platforms can provide a playback speed setting that remains static across different types of media. This limitation requires manual adjustment when a user switches between content categories, such as educational tutorials, podcasts, or music. This disclosure provides a mechanism for dynamically adjusting playback speed based on content classification and historical user preferences. Content can be categorized using classification systems and generative summaries to determine its nature and flow. An initial playback speed can be determined by analyzing average speeds for similar content across the content sharing platform. This speed can then be personalized by incorporating the specific user’s …

Synchronous Multi-User Search Sessions With Group-Personalized Results, Paula Marques

Defensive Publications Series

Information retrieval systems designed for individual use may be inefficient for collaborative tasks, potentially requiring participants to search in isolation and manually share findings through disconnected channels, such as email or chat applications. A framework for synchronous, multi-user information retrieval sessions can synchronize participant actions in near real-time across multiple devices (e.g., smartphones, laptops, tablets, wearable devices). The system can allow a user to initiate a shared session and may generate a group-personalized set of results by synthesizing the profiles and contexts of the session participants. The framework may also provide an interactive collaboration layer with tools for shared bookmarking, …

Monetizing Media Inventories Using Multi-Modal Contextual Analysis And Predictive Ad Targeting, Caroline Pieracci, Carlo Bufalini

Defensive Publications Series

Monetizing large media libraries, for example, archived content, may be challenging when targeting methods lack a granular understanding of context within a media asset. A system can employ a contextual intelligence engine to perform a multi-modal analysis of visual, auditory, and textual elements within media content, which can generate a detailed, time-stamped metadata profile for each asset. This structured data may be used for multiple targeting applications, such as linking user intent signals to relevant archived content, identifying trends for ad placements, or predicting potential viewership. This process can facilitate the dynamic creation of contextually relevant advertising opportunities. Such opportunities …

2026 February 9 - Staff Senate Agenda And Minutes, Staff Senate, East Tennessee State University

Staff Senate Agendas and Minutes

No abstract provided.

2026 February 9 - Faculty Senate Agenda And Minutes, Faculty Senate, East Tennessee State University

Faculty Senate Agendas and Minutes

No abstract provided.

Syllabus Design And Clinical Competency: A Review Of Dysphagia Training Graduate Speech-Language Pathology Programs Across North Carolina, R. Jordan Hazelwood, Kasey M. Clift, Paige H. Bradford

Appalachian Student Healthcare Research Review

Background

Despite the critical role of dysphagia management in speech-language pathology education, limited research has examined how graduate-level curriculum design and learning experiences influence clinical preparedness and competency development. The purpose of this study is to examine the relationships between instructor characteristics, syllabus design features, and the inclusion of dysphagia management competencies in graduate speech-language pathology (SLP) dysphagia course syllabi across North Carolina (NC).

Method

Instructor information and dysphagia syllabi from all accredited graduate SLP programs across NC were collected and rated. The New Dale-Chall Readability Calculator was used to evaluate syllabus readability and content complexity. The Four Dimensions of …

Rabbit Writing, February 9, 2026, Sdsu Writing Center

Rabbit Writing : The Official Newsletter of the SDSU Writing Center

Vol.1 No.2

Jackrabbit writing : Getting Started When You Don’t Know Where To Begin

Writing Center Schedule

Tariq Wyatt V. West

2026 Decisions

USDC for the Middle District of Pennsylvania

Mmu: 02/09/26-02/15/26, Student Bar Association

Monday Morning Update

This Week @ NDLS

Mass Times

Commons Daily Menu

Saint of the Week

General Announcements

City, County, University Team Up To Serve Thousands After Ice Storm, Clara Turnage

University of Mississippi News

OXFORD, Miss. – Once she knew her family would be safe in the wake of winter storm "Fern," Betsy Chapman had a thought: "What about all the families that aren't?" That thought grew into a communitywide relief effort that has served more than 3,000 families affected by the storm.

Enhancing Social Health Programming For Gbmsm With Meth Use Experience, William O’Leary, David J. Brennan, Yvonne Bergmans, Tim Guimond

Lyle S. Hallman Social Work Faculty Publications

This report presents key findings and recommendations based on a two-year qualitative study involving gay, bisexual, and other men who have sex with men (GBMSM) who have crystal methamphetamine (meth) use experience. We explore barriers and enablers of engagement in social health programming and propose actionable strategies for fostering inclusion, safety, and retention. Our goal is to inform and support providers and stakeholders working with this population.

Unh Faculty Senate Motion # Xxx-M7 Motion To Reschedule The In-Person Senate Meeting, Faculty Senate

Faculty Senate Motions

No abstract provided.