conftrace_
← Security & Privacy
Security & Privacy ›

Privacy

638 papers

Papers per year

1
30
203
'15
'20
'25

Papers

ENSEI: Efficient Secure Inference via Frequency-Domain Homomorphic Convolution for Privacy-Preserving Visual Recognition CVPR 2020
FALCON: A Fourier Transform Based Approach for Fast and Secure Convolutional Neural Network Predictions CVPR 2020
TBT: Targeted Neural Network Attack With Bit Trojan CVPR 2020
The Thieves on Sesame Street are Polyglots - Extracting Multilingual Models from Monolingual APIs EMNLP 2020
Poison Attacks against Text Datasets with Conditional Adversarially Regularized Autoencoder EMNLP 2020
On Log-Loss Scores and (No) Privacy EMNLP 2020
Policy Teaching via Environment Poisoning: Training-time Adversarial Attacks against Reinforcement Learning ICML 2020
Adaptive Reward-Poisoning Attacks against Reinforcement Learning ICML 2020
Differential Privacy for Stackelberg Games IJCAI 2020
Introducing the VoicePrivacy Initiative INTERSPEECH 2020
The Privacy ZEBRA: Zero Evidence Biometric Recognition Assessment INTERSPEECH 2020
Speech Pseudonymisation Assessment Using Voice Similarity Matrices INTERSPEECH 2020
Adversarial Audio: A New Information Hiding Method INTERSPEECH 2020
Streaming On-Device End-to-End ASR System for Privacy-Sensitive Voice-Typing INTERSPEECH 2020
Universal Adversarial Attacks on Spoken Language Assessment Systems INTERSPEECH 2020
The Attacker’s Perspective on Automatic Speaker Verification: An Overview INTERSPEECH 2020
PrivateEye: Scalable and Privacy-Preserving Compromise Detection in the Cloud NSDI 2020
Orchard: Differentially Private Analytics at Scale OSDI 2020
Selling Data at an Auction under Privacy Constraints UAI 2020
Deep Leakage from Gradients NIPS 2019
Limits of Private Learning with Access to Public Data NIPS 2019
Privacy-Preserving Classification of Personal Text Messages with Secure Multi-Party Computation NIPS 2019
Privacy Amplification by Mixing and Diffusion Mechanisms NIPS 2019
How Does Knowledge of the AUC Constrain the Set of Possible Ground-Truth Labelings? AAAI 2019
Logistic Regression on Homomorphic Encrypted Data at Scale AAAI 2019