{"total":41,"rows":[{"id":"2511.20597","title":"BrowseSafe: Understanding and Preventing Prompt Injection Within AI Browser Agents","created":"2025-11-25","cited_by_count":24,"area":"safety"},{"id":"2603.24511","title":"Claudini: Autoresearch Discovers State-of-the-Art Adversarial Attack Algorithms for LLMs","created":"2026-03-25","cited_by_count":17,"area":"safety"},{"id":"2509.26238","title":"Beyond Linear Probes: Dynamic Safety Monitoring for Language Models","created":"2025-09-30","cited_by_count":16,"area":"safety"},{"id":"2512.05648","title":"Beyond Data Filtering: Knowledge Localization for Capability Removal in LLMs","created":"2025-12-05","cited_by_count":11,"area":"safety"},{"id":"2510.09694","title":"Kelp: A Streaming Safeguard for Large Models via Latent Dynamics-Guided Risk Detection","created":"2025-10-09","cited_by_count":9,"area":"safety"},{"id":"2510.02286","title":"Tree-based Dialogue Reinforced Policy Optimization for Red-Teaming Attacks","created":"2025-10-02","cited_by_count":8,"area":"safety"},{"id":"2605.01687","title":"MultiBreak: A Scalable and Diverse Multi-turn Jailbreak Benchmark for Evaluating LLM Safety","created":"2026-05-03","cited_by_count":8,"area":"safety"},{"id":"2512.10449","title":"When Reject Turns into Accept: Quantifying the Vulnerability of LLM-Based Scientific Reviewers to Indirect Prompt Injection","created":"2025-12-11","cited_by_count":6,"area":"safety"},{"id":"2603.00498","title":"Antibody: Strengthening Defense Against Harmful Fine-Tuning for Large Language Models via Attenuating Harmful Gradient Influence","created":"2026-02-28","cited_by_count":6,"area":"safety"},{"id":"2510.02422","title":"Dynamic Jailbreaking Attack","created":"2025-10-02","cited_by_count":3,"area":"safety"},{"id":"2510.05310","title":"RAG Makes Guardrails Unsafe? Investigating Robustness of Guardrails under RAG-style Contexts","created":"2025-10-06","cited_by_count":3,"area":"safety"},{"id":"2605.04446","title":"Misrouter: Exploiting Routing Mechanisms for Input-Only Attacks on Mixture-of-Experts LLMs","created":"2026-05-06","cited_by_count":3,"area":"safety"},{"id":"2605.08778","title":"Not All Turns Matter: Credit Assignment for Multi-Turn Jailbreaking","created":"2026-05-09","cited_by_count":3,"area":"safety"},{"id":"2512.20677","title":"Learning-Based Automated Adversarial Red-Teaming for Robustness Evaluation of Large Language Models","created":"2025-12-21","cited_by_count":2,"area":"safety"},{"id":"2601.05466","title":"Jailbreaking Large Language Models through Iterative Tool-Disguised Attacks via Reinforcement Learning","created":"2026-01-09","cited_by_count":2,"area":"safety"},{"id":"2605.05277","title":"GLiNER Guard: Unified Encoder Family for Production LLM Safety and Privacy","created":"2026-05-06","cited_by_count":2,"area":"safety"},{"id":"2602.06440","title":"TrailBlazer: History-Guided Reinforcement Learning for Black-Box LLM Jailbreaking","created":"2026-02-06","cited_by_count":1,"area":"safety"},{"id":"2604.16542","title":"TWGuard: A Case Study of LLM Safety Guardrails for Localized Linguistic Contexts","created":"2026-04-17","cited_by_count":1,"area":"safety"},{"id":"2605.00553","title":"Stable-GFlowNet: Toward Diverse and Robust LLM Red-Teaming via Contrastive Trajectory Balance","created":"2026-05-01","cited_by_count":1,"area":"safety"},{"id":"2607.18056","title":"An Early Warning of Emerging Biosecurity Risks in Frontier LLMs","created":"2026-07-20","cited_by_count":1,"area":"safety"},{"id":"2608.02024","title":"EduZone: A Framework for Evaluating LLM Safety for K-12 Students and Teachers","created":"2026-08-03","cited_by_count":1,"area":"safety"},{"id":"2608.12713","title":"Tracing Provenance and Detecting Tampering with Complementary LLM Watermarks","created":"2026-08-13","cited_by_count":1,"area":"safety"},{"id":"2604.20945","title":"Breaking Bad: Interpretability-Based Safety Audits of State-of-the-Art LLMs","created":"2026-04-22","cited_by_count":0,"area":"safety"},{"id":"2605.11730","title":"Persona-Conditioned Adversarial Prompting: Multi-Identity Red-Teaming for Adversarial Discovery and Mitigation","created":"2026-05-12","cited_by_count":0,"area":"safety"},{"id":"2605.12565","title":"Persona-Conditioned Adversarial Prompting (PCAP): Multi-Identity Red-Teaming for Enhanced Adversarial Prompt Discovery","created":"2026-05-12","cited_by_count":0,"area":"safety"},{"id":"2606.05787","title":"SentinelRAG: Synthetic Sentinel Knowledge for RAG Database Copyright Protection","created":"2026-06-04","cited_by_count":0,"area":"safety"},{"id":"2606.11817","title":"Grammar-Constrained Decoding Can Jailbreak LLMs into Generating Malicious Code","created":"2026-06-10","cited_by_count":0,"area":"safety"},{"id":"2606.23375","title":"Measuring & Mitigating Over-Alignment for LLMs in Multilingual Criminal Law Courts","created":"2026-06-22","cited_by_count":0,"area":"safety"},{"id":"2606.26936","title":"Jailbreaking for the Average Jane: Choosing Optimal Jailbreaks via Bandit Algorithms for Automatically Enhanced Queries","created":"2026-06-25","cited_by_count":0,"area":"safety"},{"id":"2606.31748","title":"Addressing Over-Refusal in LLMs with Competing Rewards","created":"2026-06-30","cited_by_count":0,"area":"safety"},{"id":"2607.05353","title":"Selective Disclosure Watermarking for Large Language Models","created":"2026-07-06","cited_by_count":0,"area":"safety"},{"id":"2608.17360","title":"Fair ASR: Re-Evaluating Black-Box Jailbreaks under Shared Target-Call Budgets","created":"2026-08-18","cited_by_count":0,"area":"safety"},{"id":"2608.30703","title":"SingProbe Technical Report","created":"2026-08-31","cited_by_count":0,"area":"safety"},{"id":"2609.02414","title":"Before the Script, Set the Stage: How Worldview Simulation Amplifies Psychologically Grounded Persuasion in Multi-Turn Jailbreaking","created":"2026-09-02","cited_by_count":0,"area":"safety"},{"id":"2609.06966","title":"MOLE: Detecting Insider Threats in AI Agents","created":"2026-09-07","cited_by_count":0,"area":"safety"},{"id":"2609.20129","title":"Local Sparsity Enables Unsupervised LLM Safety Detection","created":"2026-09-17","cited_by_count":0,"area":"safety"},{"id":"2610.02418","title":"Mitigating Private Data Leakage in LLMs with Whiteout","created":"2026-10-01","cited_by_count":0,"area":"safety"},{"id":"2610.09033","title":"Quad-State Safety Evaluation of Open-Weight Large Language Models on Non-Canonical Inputs","created":"2026-10-06","cited_by_count":0,"area":"safety"},{"id":"2610.16305","title":"ATTCK-R: Knowledge-Aware Long-Horizon Jailbreaking for Protected LLMs","created":"2026-10-12","cited_by_count":0,"area":"safety"},{"id":"2610.17457","title":"BrowseSafe++: Benchmarking Prompt Injection Detection Across Web Contexts, Languages, and Browser Views","created":"2026-10-12","cited_by_count":0,"area":"safety"},{"id":"2610.18408","title":"Prompt-Injection Probes Learn the Conversation, Not Just the Injection","created":"2026-10-13","cited_by_count":0,"area":"safety"}],"next_cursor":null}