Responsible AI

Privacy Evaluation Benchmarks for NLP Models EMNLP 2024 PrivacyLens: Evaluating Privacy Norm Awareness of Language Models in Action NeurIPS 2024 Private Attribute Inference from Images with Vision-Language Models NeurIPS 2024 Probing Social Bias in Labor Market Text Generation by ChatGPT: A Masked Language Model Approach NeurIPS 2024 Procedural Fairness Through Decoupling Objectionable Data Generating Components ICLR 2024 ProgressGym: Alignment with a Millennium of Moral Progress NeurIPS 2024 Prompting Fairness: Learning Prompts for Debiasing Large Language Models EACL 2024 Prompt Leakage effect and mitigation strategies for multi-turn LLM Applications EMNLP 2024 Provable Robust Watermarking for AI-Generated Text ICLR 2024 Pro-Woman, Anti-Man? Identifying Gender Bias in Stance Detection ACL 2024 PRP: Propagating Universal Perturbations to Attack Large Language Model Guard-Rails ACL 2024 Quantifying and Analyzing Entity-Level Memorization in Large Language Models AAAI 2024 Quantifying Generative Media Bias with a Corpus of Real-world and Generated News Articles EMNLP 2024 Raccoon: Prompt Extraction Benchmark of LLM-Integrated Applications ACL 2024 Rater Cohesion and Quality from a Vicarious Perspective EMNLP 2024 Realistic Evaluation of Toxicity in Large Language Models ACL 2024 Reassessing Evaluation Functions in Algorithmic Recourse: An Empirical Study from a Human-Centered Perspective IJCAI 2024 ReCaLL: Membership Inference via Relative Conditional Log-Likelihoods EMNLP 2024 Recent Advances in Online Hate Speech Moderation: Multimodality and the Role of Large Models EMNLP 2024 Reformatted Alignment EMNLP 2024 Removing RLHF Protections in GPT-4 via Fine-Tuning NAACL 2024 REQUAL-LM: Reliability and Equity through Aggregation in Large Language Models NAACL 2024 Resilience of Large Language Models for Noisy Instructions EMNLP 2024 Rethinking Literary Plagiarism in LLMs through the Lens of Copyright Laws ACML 2024 Rethinking LLM Memorization through the Lens of Adversarial Compression NeurIPS 2024