AI Safety
3,602 papers
Papers per year
1
1
1
4
1
5
1
13
49
99
135
195
225
358
812
1,297
405
'15
'20
'25
Papers
Imitate the Good and Avoid the Bad: An Incremental Approach to Safe Reinforcement Learning
AAAI 2024
Immunization against harmful fine-tuning attacks
EMNLP 2024
Impeding LLM-assisted Cheating in Introductory Programming Assignments via Adversarial Perturbation
EMNLP 2024
Imperio: Language-Guided Backdoor Attacks for Arbitrary Model Control
IJCAI 2024
Implicit Personalization in Language Models: A Systematic Study
EMNLP 2024
Improved Generation of Adversarial Examples Against Safety-aligned LLMs
NeurIPS 2024
Improving Alignment and Robustness with Circuit Breakers
NeurIPS 2024
Improving Generalization of Alignment with Human Preferences through Group Invariant Learning
ICLR 2024
Inconsistent dialogue responses and how to recover from them
EACL 2024
INDICT: Code Generation with Internal Dialogues of Critiques for Both Security and Helpfulness
NeurIPS 2024
InferAligner: Inference-Time Alignment for Harmlessness through Cross-Model Guidance
EMNLP 2024
Information-Theoretic Opacity-Enforcement in Markov Decision Processes
IJCAI 2024
InfoRM: Mitigating Reward Hacking in RLHF via Information-Theoretic Reward Modeling
NeurIPS 2024
InjecAgent: Benchmarking Indirect Prompt Injections in Tool-Integrated Large Language Model Agents
ACL 2024
Injecting Undetectable Backdoors in Obfuscated Neural Networks and Language Models
NeurIPS 2024
Inspecting Prediction Confidence for Detecting Black-Box Backdoor Attacks
AAAI 2024
Instructions as Backdoors: Backdoor Vulnerabilities of Instruction Tuning for Large Language Models
NAACL 2024
Instruction Tuning for Secure Code Generation
ICML 2024
Intent-Aware and Hate-Mitigating Counterspeech Generation via Dual-Discriminator Guided LLMs
COLING 2024
Interactive Theorem Provers: Applications in AI, Opportunities, and Challenges
AAAI 2024
Interpretable Concept Bottlenecks to Align Reinforcement Learning Agents
NeurIPS 2024
Interpretable Preferences via Multi-Objective Reward Modeling and Mixture-of-Experts
EMNLP 2024
Interpreting Robustness Proofs of Deep Neural Networks
ICLR 2024
Intersecting-Boundary-Sensitive Fingerprinting for Tampering Detection of DNN Models
ICML 2024
Intersectionality in AI Safety: Using Multilevel Models to Understand Diverse Perceptions of Safety in Conversational AI
COLING 2024