Privacy

Which Retain Set Matters for LLM Unlearning? A Case Study on Entity Unlearning ACL 2025 Who Controls the Authorization? Invertible Networks for Copyright Protection in Text-to-Image Synthesis ICCV 2025 Wicked Oddities: Selectively Poisoning for Effective Clean-Label Backdoor Attacks ICLR 2025 With Privacy, Size Matters: On the Importance of Dataset Size in Differentially Private Text Rewriting IJCNLP 2025 “Yes, My LoRD.” Guiding Language Model Extraction with Locality Reinforced Distillation ACL 2025 YNU at SemEval-2025 Task 4: Synthetic Token Alternative Training for LLM Unlearning SemEval 2025 Your Scale Factors are My Weapon: Targeted Bit-Flip Attacks on Vision Transformers via Scale Factor Manipulation CVPR 2025 Your Semantic-Independent Watermark is Fragile: A Semantic Perturbation Attack against EaaS Watermark EMNLP 2025 Zero-Shot Class Unlearning in CLIP with Synthetic Samples WACV 2025 Zero-shot Federated Unlearning via Transforming from Data-Dependent to Personalized Model-Centric IJCAI 2025 Zero-Shot Privacy-Aware Text Rewriting via Iterative Tree Search EMNLP 2025 pfl-research: simulation framework for accelerating research in Private Federated Learning NeurIPS 2024 A2XP: Towards Private Domain Generalization CVPR 2024 AADMIP: Adversarial Attacks and Defenses Modeling in Industrial Processes IJCAI 2024 A Collocation-based Method for Addressing Challenges in Word-level Metric Differential Privacy ACL 2024 A Comparative Analysis of Federated Learning for Speech-Based Cognitive Decline Detection Interspeech 2024 A Comparative Analysis of Word-Level Metric Differential Privacy: Benchmarking the Privacy-Utility Trade-off COLING 2024 Acquiring Clean Language Models from Backdoor Poisoned Datasets by Downscaling Frequency Space ACL 2024 Advancing Beyond Identification: Multi-bit Watermark for Large Language Models NAACL 2024 Adversarial Initialization with Universal Adversarial Perturbation: A New Approach to Fast Adversarial Training AAAI 2024 A Federated Learning Approach to Privacy Preserving Offensive Language Identification COLING 2024 A Generalized Shuffle Framework for Privacy Amplification: Strengthening Privacy Guarantees and Enhancing Utility AAAI 2024 A Hassle-free Algorithm for Strong Differential Privacy in Federated Learning Systems EMNLP 2024 A Huber Loss Minimization Approach to Mean Estimation under User-level Differential Privacy NeurIPS 2024 A Learnable Discrete-Prior Fusion Autoencoder with Contrastive Learning for Tabular Data Synthesis AAAI 2024