DynaTrust: Defending Multi-Agent Systems Against Sleeper Agents via Dynamic Trust Graphs
arXiv:2603.15661v1 Announce Type: new Abstract: Large Language Model-based Multi-Agent Systems (MAS) have demonstrated remarkable collaborative reasoning capabilities but introduce new attack surfaces, such as the sleeper agent, which behave benignly during routine operation and gradually accumulate trust, only revealing malicious...
Steering Frozen LLMs: Adaptive Social Alignment via Online Prompt Routing
arXiv:2603.15647v1 Announce Type: new Abstract: Large language models (LLMs) are typically governed by post-training alignment (e.g., RLHF or DPO), which yields a largely static policy during deployment and inference. However, real-world safety is a full-lifecycle problem: static defenses degrade against...
OpenAI expands government footprint with AWS deal, report says
OpenAI has reportedly signed a partnership with AWS to sell its AI systems to the U.S. government for classified and unclassified work, marking an expansion beyond its Pentagon deal last month.
GroupGuard: A Framework for Modeling and Defending Collusive Attacks in Multi-Agent Systems
arXiv:2603.13940v1 Announce Type: new Abstract: While large language model-based agents demonstrate great potential in collaborative tasks, their interactivity also introduces security vulnerabilities. In this paper, we propose and model group collusive attacks, a highly destructive threat in which multiple agents...
Feature-level Interaction Explanations in Multimodal Transformers
arXiv:2603.13326v1 Announce Type: new Abstract: Multimodal Transformers often produce predictions without clarifying how different modalities jointly support a decision. Most existing multimodal explainable AI (MXAI) methods extend unimodal saliency to multimodal backbones, highlighting important tokens or patches within each modality,...
RTD-Guard: A Black-Box Textual Adversarial Detection Framework via Replacement Token Detection
arXiv:2603.12582v1 Announce Type: new Abstract: Textual adversarial attacks pose a serious security threat to Natural Language Processing (NLP) systems by introducing imperceptible perturbations that mislead deep learning models. While adversarial example detection offers a lightweight alternative to robust training, existing...
CLASP: Defending Hybrid Large Language Models Against Hidden State Poisoning Attacks
arXiv:2603.12206v1 Announce Type: new Abstract: State space models (SSMs) like Mamba have gained significant traction as efficient alternatives to Transformers, achieving linear complexity while maintaining competitive performance. However, Hidden State Poisoning Attacks (HiSPAs), a recently discovered vulnerability that corrupts SSM...
What crackdown? Trump's EPA enforcement claims don't pass sniff test.
75% of the criminal cases closed last fiscal year originated before Trump took office.
Bad Boy Jurisprudence
In 2009, President Barack Obama set off a “radioactive” debate when he told the White House Press Corps that he would seek a judge...The postBad Boy Jurisprudenceappeared first onHarvard Law Review.
United States v. Johnson
Drug detection dogs are critical tools in the fight against drug trafficking. However, law enforcement canines are imperfect: They sometimes incorrectly alert when performing...The post<em>United States v. Johnson</em>appeared first onHarvard Law Review.
ERP-RiskBench: Leakage-Safe Ensemble Learning for Financial Risk
arXiv:2603.06671v1 Announce Type: new Abstract: Financial risk detection in Enterprise Resource Planning (ERP) systems is an important but underexplored application of machine learning. Published studies in this area tend to suffer from vague dataset descriptions, leakage-prone pipelines, and evaluation practices...
OpenAI and Google employees rush to Anthropic’s defense in DOD lawsuit
More than 30 OpenAI and Google DeepMind employees signed onto a statement supporting Anthropic's lawsuit against the Defense Department after the agency labeled the AI firm a supply-chain risk, according to court filings.
Anthropic sues Defense Department over supply-chain risk designation
Anthropic filed suit against the Department of Defense on Monday after the agency labeled it a supply-chain risk. The complaint calls the DOD's actions "unprecedented and unlawful."
Identifying Adversary Characteristics from an Observed Attack
arXiv:2603.05625v1 Announce Type: new Abstract: When used in automated decision-making systems, machine learning (ML) models are vulnerable to data-manipulation attacks. Some defense mechanisms (e.g., adversarial regularization) directly affect the ML models while others (e.g., anomaly detection) act within the broader...
Will the Pentagon’s Anthropic controversy scare startups away from defense work?
On the latest episode of TechCrunch’s Equity podcast, we discussed what the controversy means for other startups seeking to work with the federal government.
OpenAI robotics lead Caitlin Kalinowski quits in response to Pentagon deal
Hardware executive Caitlin Kalinowski announced today that in response to OpenAI's controversial agreement with the Department of Defense, she’s resigned from her role leading the company's robotics team.
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Executive Branch Forum Shopping
Courts agree that the federal government may not seize a person in the United States and immediately ship them off to a prison in another country without providing any opportunity for judicial review. But this basic constitutional rule has proven...
Volume 2025, No. 6
Adjudicating De Facto Parentage by Stephanie L. Tang; Behind the Bench: Unmasking the Judicial Role in North America’s Prolonged Access to Justice Crisis by Brajesh Ranjan; Abuse Victims Are Not Sleeping Away Their Day in Court: Claim Preclusion and Wisconsin...
Major-Questions Lenity lawreview - Minnesota Law Review
By JOEL S. JOHNSON. Full Text. Both the historic rule of lenity and the new major questions doctrine rest on a fundamental commitment to the separation of powers for important policy questions. In light of that shared justification, the logic...
Volume 2025, No. 3
Tax Sheltering Death Care by Victoria J. Haneman; Menstrual Justice After Dobbs by Margaret E. Johnson; Scrutinizing Succession by Carrie Stanton; The Neutral Criteria Myth by James Piltch; and Wisconsin’s Ideal Affirmative Defense Standard for Human Sex Trafficking Survivors by...
Essential but Excluded: Vending in the Time of Corona
Immigrants, those with legal status and those without, individuals returning from incarceration, and individuals with time-consuming childcare and other family obligations often look to start microenterprises like street vending to provide for themselves and their families. However, many municipalities in...
Drug Scheduling as Institutional Design
The United States makes bad choices when it comes to psychoactive drugs. Under the Controlled Substances Act (CSA), U.S. drug law has simultaneously fueled mass incarceration, inhibited needed access, and enabled an opioid crisis.The postDrug Scheduling as Institutional Designappeared first...
READY, AIM, FIRE? EVALUATING THE FUTURE OF LIABILITY FOR THE FIREARMS INDUSTRY DURING NEW-WAVE PLCAA LITIGATION - Minnesota Law Review
By: Will Roberts, Volume 108 Staff Member I. MECHANISMS FOR FIREARMS INDUSTRY LIABILITY In 2005, Congress enacted the Protection of Lawful Commerce in Arms Act (PLCAA) which significantly shielded members of the firearms industry from civil liability for over a...
WLR Forward
Wisconsin Law Review Forward is an online only publication intended to move conversations in legal academia forward by providing a forum for the quick publication of topical and timely pieces that would otherwise be delayed by our production schedule for...
Recent Policies, Regulations and Laws Related to Artificial Intelligence Across the Central Asia
Artificial Intelligence as technology is developing fast in the Central Asian Region. In Post COVID World, it is expected to change the people’s lives by improving healthcare (e.g. making diagnosis more precise, enabling better prevention of diseases), increasing the efficiency...
Volume 110 - Issue 2 - Minnesota Law Review
Public Interest
The Vanderbilt Law School Public Interest Office prepares students for fulfilling and sustainable public interest careers through robust advising, programming, and community support. It fosters a culture of public service by providing the vision, training, and opportunities to serve the...