SOTAVerified

Red Teaming

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 51–75 of 251 papers

TitleStatusHype
Trajectory Balance with Asynchrony: Decoupling Exploration and Learning for Fast, Scalable LLM Post-TrainingCode1
AutoRedTeamer: Autonomous Red Teaming with Lifelong Attack Integration—0
MMDT: Decoding the Trustworthiness and Safety of Multimodal Foundation Models—0
Making Every Step Effective: Jailbreaking Large Vision-Language Models Through Hierarchical KV Equalization—0
A Framework for Evaluating Emerging Cyberattack Capabilities of AI—0
Red Teaming Contemporary AI Models: Insights from Spanish and Basque Perspectives—0
JBFuzz: Jailbreaking LLMs Efficiently and Effectively Using Fuzzing—0
MAD-MAX: Modular And Diverse Malicious Attack MiXtures for Automated LLM Red Teaming—0
Reinforced Diffuser for Red Teaming Large Vision-Language Models—0
Know Thy Judge: On the Robustness Meta-Evaluation of LLM Safety Judges—0
LLM-Safety Evaluations Lack Robustness—0
Building Safe GenAI Applications: An End-to-End Overview of Red Teaming for Large Language Models—0
UDora: A Unified Red Teaming Framework against LLM Agents by Dynamically Hijacking Their Own ReasoningCode1
Be a Multitude to Itself: A Prompt Evolution Framework for Red Teaming—0
Fast Proxies for LLM Robustness Evaluation—0
A Frontier AI Risk Management Framework: Bridging the Gap Between Current AI Practices and Established Risk Management—0
Predictive Red Teaming: Breaking Policies Without Breaking Robots—0
KDA: A Knowledge-Distilled Attacker for Generating Diverse Prompts to Jailbreak LLMs—0
Understanding and Enhancing the Transferability of Jailbreaking AttacksCode1
Constitutional Classifiers: Defending against Universal Jailbreaks across Thousands of Hours of Red Teaming—0
RICoTA: Red-teaming of In-the-wild Conversation with Test AttemptsCode0
Virus: Harmful Fine-tuning Attack for Large Language Models Bypassing Guardrail ModerationCode2
Siren: A Learning-Based Multi-Turn Attack Framework for Simulating Real-World Human Jailbreak BehaviorsCode1
Playing Devil's Advocate: Unmasking Toxicity and Vulnerabilities in Large Vision-Language 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