Privacy
3,022 papers
Papers per year
1
2
1
3
7
10
7
18
23
40
67
136
179
302
367
511
562
603
183
'15
'20
'25
Papers
Learning Together Securely: Prototype-Based Federated Multi-Modal Hashing for Safe and Efficient Multi-Modal Retrieval
AAAI 2025
Learning to Refuse: Towards Mitigating Privacy Risks in LLMs
COLING 2025
Learning to Rewind via Iterative Prediction of Past Weights for Practical Unlearning
AAAI 2025
Less Static, More Private: Towards Transferable Privacy-Preserving Action Recognition by Generative Decoupled Learning
ICCV 2025
Leveraging Semantic Triples for Private Document Generation with Local Differential Privacy Guarantees
EMNLP 2025
LiteLMGuard: Seamless and Lightweight On-Device Guardrails for Small Language Models against Quantization Vulnerabilities
IJCNLP 2025
Little Is Enough: Boosting Privacy by Sharing Only Hard Labels in Federated Semi-Supervised Learning
AAAI 2025
LLM Evaluate: An Industry-Focused Evaluation Tool for Large Language Models
COLING 2025
LLM-Generated Passphrases That Are Secure and Easy to Remember
NAACL 2025
LLMs are Privacy Erasable
EMNLP 2025
LMEraser: Large Model Unlearning via Adaptive Prompt Tuning
AISTATS 2025
LNE-Blocking: An Efficient Framework for Contamination Mitigation Evaluation on Large Language Models
EMNLP 2025
Localized Concept Erasure for Text-to-Image Diffusion Models Using Training-Free Gated Low-Rank Adaptation
CVPR 2025
Locally Private Causal Inference for Randomized Experiments
JMLR 2025
Locally Private Sampling with Public Data
AISTATS 2025
LoRA Unlearns More and Retains More (Student Abstract)
AAAI 2025
LoTUS: Large-Scale Machine Unlearning with a Taste of Uncertainty
CVPR 2025
Low-Entropy Watermark Detection via Bayes’ Rule Derived Detector
ACL 2025
Low-Rank Adaptation in Multilinear Operator Networks for Security-Preserving Incremental Learning
CVPR 2025
LUME: LLM Unlearning with Multitask Evaluations
EMNLP 2025
Machine Unlearning Fails to Remove Data Poisoning Attacks
ICLR 2025
Machine Unlearning of Personally Identifiable Information in Large Language Models
EMNLP 2025
Machine Unlearning via Simulated Oracle Matching
ICLR 2025
MALTO at SemEval-2025 Task 4: Dual Teachers for Unlearning Sensitive Content in LLMs
SemEval 2025
Measuring memorization in RLHF for code completion
ICLR 2025