Privacy

Poisoning Deep Learning Based Recommender Model in Federated Learning Scenarios IJCAI 2022 Privacy Preserving Partial Localization CVPR 2022 Private Robust Estimation by Stabilizing Convex Relaxations COLT 2022 PrivateSNN: Privacy-Preserving Spiking Neural Networks AAAI 2022 Protecting Facial Privacy: Generating Adversarial Identity Masks via Style-Robust Makeup Transfer CVPR 2022 Protecting Intellectual Property of Language Generation APIs with Lexical Watermark AAAI 2022 Provably Confidential Language Modelling NAACL 2022 Public Data-Assisted Mirror Descent for Private Model Training ICML 2022 Self-Aware Personalized Federated Learning NeurIPS 2022 Shielding Federated Learning: Robust Aggregation with Adaptive Client Selection IJCAI 2022 Should I disclose my dataset? Caveats between reproducibility and individual data rights EMNLP 2022 Student Surpasses Teacher: Imitation Attack for Black-Box NLP APIs COLING 2022 TextFusion: Privacy-Preserving Pre-trained Model Inference via Token Fusion EMNLP 2022 “That Is a Suspicious Reaction!”: Interpreting Logits Variation to Detect NLP Adversarial Attacks ACL 2022 The Role of Adaptive Optimizers for Honest Private Hyperparameter Selection AAAI 2022 To Trust or Not To Trust Prediction Scores for Membership Inference Attacks IJCAI 2022 Unsupervised Non-transferable Text Classification EMNLP 2022 Untargeted Backdoor Watermark: Towards Harmless and Stealthy Dataset Copyright Protection NeurIPS 2022 Unveiling Real-Life Effects of Online Photo Sharing WACV 2022 When Privacy Meets Partial Information: A Refined Analysis of Differentially Private Bandits NeurIPS 2022 Adapting to function difficulty and growth conditions in private optimization NeurIPS 2021 Adversarial Example Detection Using Latent Neighborhood Graph ICCV 2021 Anonymizing Egocentric Videos ICCV 2021 Black-Box Detection of Backdoor Attacks With Limited Information and Data ICCV 2021 CRYPTOGRU: Low Latency Privacy-Preserving Text Analysis With GRU EMNLP 2021