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Privacy
490 directly classified papers
Papers per year
2011: 2
2012: 1
2016: 4
2017: 2
2018: 6
2019: 16
2020: 22
2021: 31
2022: 54
2023: 57
2024: 121
2025: 161
2026: 13
Papers
DRAG: Dynamic Region-Aware GCN for Privacy-Leaking Image Detection
AAAI 2022
Contribution-Aware Federated Learning for Smart Healthcare
AAAI 2022
Improved Utility Analysis of Private CountSketch
NIPS 2022
Fingerprinting Deep Neural Networks Globally via Universal Adversarial Perturbations
CVPR 2022
Protecting Facial Privacy: Generating Adversarial Identity Masks via Style-Robust Makeup Transfer
CVPR 2022
Plug & Play Attacks: Towards Robust and Flexible Model Inversion Attacks
ICML 2022
Adapting to function difficulty and growth conditions in private optimization
NIPS 2021
DISCO: Dynamic and Invariant Sensitive Channel Obfuscation for Deep Neural Networks
CVPR 2021
Protecting Intellectual Property of Generative Adversarial Networks From Ambiguity Attacks
CVPR 2021
Privacy-Preserving Image Features via Adversarial Affine Subspace Embeddings
CVPR 2021
Differentially Private Nonparametric Regression Under a Growth Condition
COLT 2021
How Privacy-Preserving Are Line Clouds? Recovering Scene Details From 3D Lines
CVPR 2021
RaSSpeR: Radar-Based Silent Speech Recognition
INTERSPEECH 2021
Knowledge-Enriched Distributional Model Inversion Attacks
ICCV 2021
Robust Watermarking for Deep Neural Networks via Bi-Level Optimization
ICCV 2021
Perceptual Indistinguishability-Net (PI-Net): Facial Image Obfuscation With Manipulable Semantics
CVPR 2021
Watermarking Deep Neural Networks with Greedy Residuals
ICML 2021
Reconstruction Attack on Instance Encoding for Language Understanding
EMNLP 2021
CRYPTOGRU: Low Latency Privacy-Preserving Text Analysis With GRU
EMNLP 2021
Locally Private k-Means in One Round
ICML 2021
Does BERT Pretrained on Clinical Notes Reveal Sensitive Data?
NAACL 2021
Tight Differential Privacy for Discrete-Valued Mechanisms and for the Subsampled Gaussian Mechanism Using FFT
AISTATS 2021
Probabilistic Selective Encryption of Convolutional Neural Networks for Hierarchical Services
CVPR 2021
SecDD: Efficient and Secure Method for Remotely Training Neural Networks (Student Abstract)
AAAI 2021
Private learning implies quantum stability
NIPS 2021
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