Privacy
717 papers
Papers per year
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2
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2
2
2
5
3
18
12
32
57
74
92
143
226
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'25
Papers
Mitigating Privacy Seesaw in Large Language Models: Augmented Privacy Neuron Editing via Activation Patching
ACL 2024
Mixing Gradients in Neural Networks as a Strategy To Enhance Privacy in Federated Learning
WACV 2024
Model Inversion Robustness: Can Transfer Learning Help?
CVPR 2024
MultiLeg: Dataset for Text Sanitisation in Less-resourced Languages
COLING 2024
NCIS: Neural Contextual Iterative Smoothing for Purifying Adversarial Perturbations
WACV 2024
Neural Codec-based Adversarial Sample Detection for Speaker Verification
Interspeech 2024
Noisy Neighbors: Efficient membership inference attacks against LLMs
ACL 2024
On provable privacy vulnerabilities of graph representations
NeurIPS 2024
On the Benefits of Public Representations for Private Transfer Learning under Distribution Shift
NeurIPS 2024
Open Problem: What is the Complexity of Joint Differential Privacy in Linear Contextual Bandits?
COLT 2024
Optimal Locally Private Nonparametric Classification with Public Data
JMLR 2024
Order of Magnitude Speedups for LLM Membership Inference
EMNLP 2024
OSLO: One-Shot Label-Only Membership Inference Attacks
NeurIPS 2024
PANORAMIA: Privacy Auditing of Machine Learning Models without Retraining
NeurIPS 2024
PII-Compass: Guiding LLM training data extraction prompts towards the target PII via grounding
ACL 2024
PostMark: A Robust Blackbox Watermark for Large Language Models
EMNLP 2024
PPIDSG: A Privacy-Preserving Image Distribution Sharing Scheme with GAN in Federated Learning
AAAI 2024
Practical Privacy-Preserving MLaaS: When Compressive Sensing Meets Generative Networks
AAAI 2024
Preset-Voice Matching for Privacy Regulated Speech-to-Speech Translation Systems
ACL 2024
Privacy Amplification by Iteration for ADMM with (Strongly) Convex Objective Functions
AAAI 2024
Privacy Amplification for Matrix Mechanisms
ICLR 2024
Privacy Backdoors: Enhancing Membership Inference through Poisoning Pre-trained Models
NeurIPS 2024
Privacy-Constrained Policies via Mutual Information Regularized Policy Gradients
AISTATS 2024
Privacy-Preserving Face Recognition Using Trainable Feature Subtraction
CVPR 2024
Privacy-Preserving Optics for Enhancing Protection in Face De-Identification
CVPR 2024