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Privacy

638 papers

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Papers

IronMask: Modular Architecture for Protecting Deep Face Template CVPR 2021
Data-Free Model Extraction CVPR 2021
On the Difficulty of Membership Inference Attacks CVPR 2021
See Through Gradients: Image Batch Recovery via GradInversion CVPR 2021
Soteria: Provable Defense Against Privacy Leakage in Federated Learning From Representation Perspective CVPR 2021
Reconstruction Attack on Instance Encoding for Language Understanding EMNLP 2021
CRYPTOGRU: Low Latency Privacy-Preserving Text Analysis With GRU EMNLP 2021
Mind the Style of Text! Adversarial and Backdoor Attacks Based on Text Style Transfer EMNLP 2021
A Secure and Efficient Federated Learning Framework for NLP EMNLP 2021
Preventing Author Profiling through Zero-Shot Multilingual Back-Translation EMNLP 2021
Uni-FedRec: A Unified Privacy-Preserving News Recommendation Framework for Model Training and Online Serving EMNLP 2021
TAG: Gradient Attack on Transformer-based Language Models EMNLP 2021
Attacks against Ranking Algorithms with Text Embeddings: A Case Study on Recruitment Algorithms EMNLP 2021
Privacy enabled Financial Text Classification using Differential Privacy and Federated Learning EMNLP 2021
A Backdoor Attack Against 3D Point Cloud Classifiers ICCV 2021
Knowledge-Enriched Distributional Model Inversion Attacks ICCV 2021
Towards Face Encryption by Generating Adversarial Identity Masks ICCV 2021
Membership Inference Attacks Are Easier on Difficult Problems ICCV 2021
Personalized and Invertible Face De-Identification by Disentangled Identity Information Manipulation ICCV 2021
Ensemble Attention Distillation for Privacy-Preserving Federated Learning ICCV 2021
Anonymizing Egocentric Videos ICCV 2021
Rethinking the Backdoor Attacks' Triggers: A Frequency Perspective ICCV 2021
Label-Only Membership Inference Attacks ICML 2021
Federated Learning of User Verification Models Without Sharing Embeddings ICML 2021
Practical and Private (Deep) Learning Without Sampling or Shuffling ICML 2021