Privacy
717 papers
Papers per year
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2
1
2
2
2
5
3
18
12
32
57
74
92
143
226
45
'15
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'25
Papers
Named Entity Inference Attacks on Clinical LLMs: Exploring Privacy Risks and the Impact of Mitigation Strategies
NAACL 2025
Near-optimal algorithms for private estimation and sequential testing of collision probability
AISTATS 2025
NeuroReset : LLM Unlearning via Dual Phase Mixed Methodology
SemEval 2025
Not What the Doctor Ordered: Surveying LLM-based De-identification and Quantifying Clinical Information Loss
EMNLP 2025
Novel Loss-Enhanced Universal Adversarial Patches for Sustainable Speaker Privacy
Interspeech 2025
OmniGuard: Hybrid Manipulation Localization via Augmented Versatile Deep Image Watermarking
CVPR 2025
OmniMark: Efficient and Scalable Latent Diffusion Model Fingerprinting
AAAI 2025
On Probabilistic Truncation in Privacy-preserving Machine Learning
AAAI 2025
On the Privacy Risks of Spiking Neural Networks: A Membership Inference Analysis
UAI 2025
PAPILLON: Privacy Preservation from Internet-based and Local Language Model Ensembles
NAACL 2025
Partially Blinded Unlearning: Class Unlearning for Deep Networks from Bayesian Perspective
AAAI 2025
PBI-Attack: Prior-Guided Bimodal Interactive Black-Box Jailbreak Attack for Toxicity Maximization
NAACL 2025
Personalized Label Inference Attack in Federated Transfer Learning via Contrastive Meta Learning
AAAI 2025
Personalized Language Models via Privacy-Preserving Evolutionary Model Merging
EMNLP 2025
PIG: Privacy Jailbreak Attack on LLMs via Gradient-based Iterative In-Context Optimization
ACL 2025
PIGuard: Prompt Injection Guardrail via Mitigating Overdefense for Free
ACL 2025
PlugMark: A Plug-in Zero-Watermarking Framework for Diffusion Models
ICCV 2025
Portcullis: A Scalable and Verifiable Privacy Gateway for Third-Party LLM Inference
AAAI 2025
PoWER Never Corrupts: Tool-Agnostic Verification of Crash Consistency and Corruption Detection
OSDI 2025
Privacy Checklist: Privacy Violation Detection Grounding on Contextual Integrity Theory
NAACL 2025
Privacy in Action: Towards Realistic Privacy Mitigation and Evaluation for LLM-Powered Agents
EMNLP 2025
Privacy Preserving Data Selection for Bias Mitigation in Speech Models
ACL 2025
Privacy-Preserving Low-Rank Adaptation Against Membership Inference Attacks for Latent Diffusion Models
AAAI 2025
Privacy Preserving Solution of DCOPs by Local Search
IJCAI 2025
Privacy-Preserving Speaker Verification via End-to-End Secure Representation Learning
Interspeech 2025