SOTAVerified

Red Teaming

Papers

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Showing 201–250 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
EVA: Red-Teaming GUI Agents via Evolving Indirect Prompt Injection—0
Red teaming ChatGPT via Jailbreaking: Bias, Robustness, Reliability and Toxicity—0
Exploring Straightforward Conversational Red-Teaming—0
Exploring the Vulnerability of the Content Moderation Guardrail in Large Language Models via Intent Manipulation—0
Fast Proxies for LLM Robustness Evaluation—0
Embodied Red Teaming for Auditing Robotic Foundation Models—0
Finding Safety Neurons in Large Language Models—0
ELAB: Extensive LLM Alignment Benchmark in Persian Language—0
FLIRT: Feedback Loop In-context Red Teaming—0
Games for AI Control: Models of Safety Evaluations of AI Deployment Protocols—0
Effective Red-Teaming of Policy-Adherent Agents—0
DMRL: Data- and Model-aware Reward Learning for Data Extraction—0
Diverse and Effective Red Teaming with Auto-generated Rewards and Multi-step Reinforcement Learning—0
GhostPrompt: Jailbreaking Text-to-image Generative Models based on Dynamic Optimization—0
Direct Unlearning Optimization for Robust and Safe Text-to-Image Models—0
Digital cloning of online social networks for language-sensitive agent-based modeling of misinformation spread—0
Testing and Evaluation of Large Language Models: Correctness, Non-Toxicity, and Fairness—0
h4rm3l: A language for Composable Jailbreak Attack Synthesis—0
"Haet Bhasha aur Diskrimineshun": Phonetic Perturbations in Code-Mixed Hinglish to Red-Team LLMs—0
DiffZOO: A Purely Query-Based Black-Box Attack for Red-teaming Text-to-Image Generative Model via Zeroth Order Optimization—0
Hidden Ghost Hand: Unveiling Backdoor Vulnerabilities in MLLM-Powered Mobile GUI Agents—0
Atoxia: Red-teaming Large Language Models with Target Toxic Answers—0
HRLAIF: Improvements in Helpfulness and Harmlessness in Open-domain Reinforcement Learning From AI Feedback—0
Desert Camels and Oil Sheikhs: Arab-Centric Red Teaming of Frontier LLMs—0
In-Context Experience Replay Facilitates Safety Red-Teaming of Text-to-Image Diffusion Models—0
Text-Diffusion Red-Teaming of Large Language Models: Unveiling Harmful Behaviors with Proximity Constraints—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1SUDOAttack Success Rate41—Unverified