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Privacy

520 papers

Papers per year

22
161
'20
'25

Papers

Shielding Federated Learning: Robust Aggregation with Adaptive Client Selection IJCAI 2022
MetaFinger: Fingerprinting the Deep Neural Networks with Meta-training IJCAI 2022
Poisoning Deep Learning Based Recommender Model in Federated Learning Scenarios IJCAI 2022
Bridging Differential Privacy and Byzantine-Robustness via Model Aggregation IJCAI 2022
To Trust or Not To Trust Prediction Scores for Membership Inference Attacks IJCAI 2022
Neural Text Sanitization with Explicit Measures of Privacy Risk IJCNLP 2022
Addressing Segmentation Ambiguity in Neural Linguistic Steganography IJCNLP 2022
Provably Confidential Language Modelling NAACL 2022
Federated Learning with Noisy User Feedback NAACL 2022
Differentially Private Instance Encoding against Privacy Attacks NAACL 2022
Unveiling Real-Life Effects of Online Photo Sharing WACV 2022
Adapting to function difficulty and growth conditions in private optimization NIPS 2021
Excess Capacity and Backdoor Poisoning NIPS 2021
Private learning implies quantum stability NIPS 2021
Relaxed Marginal Consistency for Differentially Private Query Answering NIPS 2021
Generalized Linear Bandits with Local Differential Privacy NIPS 2021
Initiative Defense against Facial Manipulation AAAI 2021
Provably Secure Federated Learning against Malicious Clients AAAI 2021
Learning Model-Based Privacy Protection under Budget Constraints AAAI 2021
SecDD: Efficient and Secure Method for Remotely Training Neural Networks (Student Abstract) AAAI 2021
Tight Differential Privacy for Discrete-Valued Mechanisms and for the Subsampled Gaussian Mechanism Using FFT AISTATS 2021
On Avoiding the Union Bound When Answering Multiple Differentially Private Queries COLT 2021
Differentially Private Nonparametric Regression Under a Growth Condition COLT 2021
Probabilistic Selective Encryption of Convolutional Neural Networks for Hierarchical Services CVPR 2021
Privacy-Preserving Image Features via Adversarial Affine Subspace Embeddings CVPR 2021