SOTAVerified

Red Teaming

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 201–225 of 251 papers

TitleStatusHype
Ruby Teaming: Improving Quality Diversity Search with Memory for Automated Red Teaming—0
SafeCOMM: What about Safety Alignment in Fine-Tuned Telecom Large Language Models?—0
Safety Alignment for Vision Language Models—0
Safety by Measurement: A Systematic Literature Review of AI Safety Evaluation Methods—0
SAGE-RT: Synthetic Alignment data Generation for Safety Evaluation and Red Teaming—0
A Multi-Disciplinary Review of Knowledge Acquisition Methods: From Human to Autonomous Eliciting Agents—0
A Mechanism-Based Approach to Mitigating Harms from Persuasive Generative AI—0
Seeing Seeds Beyond Weeds: Green Teaming Generative AI for Beneficial Uses—0
Shaping Influence and Influencing Shaping: A Computational Red Teaming Trust-based Swarm Intelligence Model—0
AI red-teaming is a sociotechnical challenge: on values, labor, and harms—0
A Formal Framework for Assessing and Mitigating Emergent Security Risks in Generative AI Models: Bridging Theory and Dynamic Risk Mitigation—0
AdvAgent: Controllable Blackbox Red-teaming on Web Agents—0
Understanding and Mitigating Risks of Generative AI in Financial Services—0
Adversaries Can Misuse Combinations of Safe Models—0
STACK: Adversarial Attacks on LLM Safeguard Pipelines—0
STAR: SocioTechnical Approach to Red Teaming Language Models—0
AART: AI-Assisted Red-Teaming with Diverse Data Generation for New LLM-powered Applications—0
SteerDiff: Steering towards Safe Text-to-Image Diffusion Models—0
VLFeedback: A Large-Scale AI Feedback Dataset for Large Vision-Language Models Alignment—0
Strategize Globally, Adapt Locally: A Multi-Turn Red Teaming Agent with Dual-Level Learning—0
AgentVigil: Generic Black-Box Red-teaming for Indirect Prompt Injection against LLM Agents—0
Summon a Demon and Bind it: A Grounded Theory of LLM Red Teaming—0
A Frontier AI Risk Management Framework: Bridging the Gap Between Current AI Practices and Established Risk Management—0
GenBreak: Red Teaming Text-to-Image Generators Using Large Language Models—0
Testing and Evaluation of Large Language Models: Correctness, Non-Toxicity, and Fairness—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1SUDOAttack Success Rate41—Unverified