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AI Safety

2972 directly classified papers

Papers per year

Papers

Granite Guardian: Comprehensive LLM Safeguarding NAACL 2025
Improving Consistency in LLM Inference using Probabilistic Tokenization NAACL 2025
Comparing Moral Values in Western English-speaking societies and LLMs with Word Associations ACL 2025
Certified Human Trajectory Prediction CVPR 2025
CADRef: Robust Out-of-Distribution Detection via Class-Aware Decoupled Relative Feature Leveraging CVPR 2025
Training Data Provenance Verification: Did Your Model Use Synthetic Data from My Generative Model for Training? CVPR 2025
A Practical Examination of AI-Generated Text Detectors for Large Language Models NAACL 2025
Breaking ReAct Agents: Foot-in-the-Door Attack Will Get You In NAACL 2025
Investigating the Security Threat Arising from “Yes-No” Implicit Bias in Large Language Models AAAI 2025
Aligning to What? Limits to RLHF Based Alignment NAACL 2025
SafeRAG: Benchmarking Security in Retrieval-Augmented Generation of Large Language Model ACL 2025
Tongue-Tied: Breaking LLMs Safety Through New Language Learning NAACL 2025
Enhancing Transferability of Targeted Adversarial Examples via Inverse Target Gradient Competition and Spatial Distance Stretching ICCV 2025
Mind the Trojan Horse: Image Prompt Adapter Enabling Scalable and Deceptive Jailbreaking CVPR 2025
Black-Box Forgery Attacks on Semantic Watermarks for Diffusion Models CVPR 2025
Decoder Gradient Shield: Provable and High-Fidelity Prevention of Gradient-Based Box-Free Watermark Removal CVPR 2025
CIC-NLP@DravidianLangTech 2025: Detecting AI-generated Product Reviews in Dravidian Languages NAACL 2025
A Comparative Analysis of Ethical and Safety Gaps in LLMs using Relative Danger Coefficient NAACL 2025
Stepwise Reasoning Disruption Attack of LLMs ACL 2025
Beyond Clean Training Data: A Versatile and Model-Agnostic Framework for Out-of-Distribution Detection with Contaminated Training Data CVPR 2025
Jailbreaking the Non-Transferable Barrier via Test-Time Data Disguising CVPR 2025
Beyond Human Judgment: A Bayesian Evaluation of LLMs’ Moral Values Understanding EMNLP 2025
Demystify Verbosity Compensation Behavior of Large Language Models EMNLP 2025
On the Role of Unobserved Sequences on Sample-based Uncertainty Quantification for LLMs EMNLP 2025
Iterative Self-Tuning LLMs for Enhanced Jailbreaking Capabilities NAACL 2025