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Privacy

638 papers

Papers per year

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Papers

Maximum Knowledge Orthogonality Reconstruction With Gradients in Federated Learning WACV 2024
SynthProv: Interpretable Framework for Profiling Identity Leakage WACV 2024
NCIS: Neural Contextual Iterative Smoothing for Purifying Adversarial Perturbations WACV 2024
Learnable Cube-Based Video Encryption for Privacy-Preserving Action Recognition WACV 2024
Scalable Membership Inference Attacks via Quantile Regression NIPS 2023
What Distributions are Robust to Indiscriminate Poisoning Attacks for Linear Learners? NIPS 2023
Robust and Actively Secure Serverless Collaborative Learning NIPS 2023
Hidden Poison: Machine Unlearning Enables Camouflaged Poisoning Attacks NIPS 2023
On the Gini-impurity Preservation For Privacy Random Forests NIPS 2023
Diverse Community Data for Benchmarking Data Privacy Algorithms NIPS 2023
Bounding the Invertibility of Privacy-preserving Instance Encoding using Fisher Information NIPS 2023
Marich: A Query-efficient Distributionally Equivalent Model Extraction Attack NIPS 2023
Pseudo Label-Guided Model Inversion Attack via Conditional Generative Adversarial Network AAAI 2023
Steganography of Steganographic Networks AAAI 2023
Incentive-Boosted Federated Crowdsourcing AAAI 2023
DisGUIDE: Disagreement-Guided Data-Free Model Extraction AAAI 2023
Dropout Is NOT All You Need to Prevent Gradient Leakage AAAI 2023
Securing Secure Aggregation: Mitigating Multi-Round Privacy Leakage in Federated Learning AAAI 2023
Zero-Knowledge Proofs for Classical Planning Problems AAAI 2023
Privacy Attacks on Schedule-Driven Data AAAI 2023
DeAR: A Deep-Learning-Based Audio Re-recording Resilient Watermarking AAAI 2023
GAN-Based Domain Inference Attack AAAI 2023
ERASER: AdvERsArial Sensitive Element Remover for Image Privacy Preservation AAAI 2023
Similarity Distribution Based Membership Inference Attack on Person Re-identification AAAI 2023
Robust Image Steganography: Hiding Messages in Frequency Coefficients AAAI 2023