Learning to Prevent Leakage: Privacy-Preserving Inference in the Mobile Cloud
Authors: Shuang Zhang, Liyao Xiang, Congcong Li, Yixuan Wang, Quanshi Zhang, Wei Wang, Bo Li | Published: 2019-12-18 | Updated: 2021-06-15
MimicGAN: Robust Projection onto Image Manifolds with Corruption Mimicking
Authors: Rushil Anirudh, Jayaraman J. Thiagarajan, Bhavya Kailkhura, Timo Bremer | Published: 2019-12-16 | Updated: 2020-04-30
Adversarial Model Extraction on Graph Neural Networks
Authors: David DeFazio, Arti Ramesh | Published: 2019-12-16
Constructing a provably adversarially-robust classifier from a high accuracy one
Authors: Grzegorz Głuch, Rüdiger Urbanke | Published: 2019-12-16
DAmageNet: A Universal Adversarial Dataset
Authors: Sizhe Chen, Xiaolin Huang, Zhengbao He, Chengjin Sun | Published: 2019-12-16
Pseudo Random Number Generation: a Reinforcement Learning approach
Authors: Luca Pasqualini, Maurizio Parton | Published: 2019-12-15
Artificial Intelligence Techniques for Security Vulnerability Prevention
Authors: Steve Kommrusch | Published: 2019-12-14
Private Federated Learning with Domain Adaptation
Authors: Daniel Peterson, Pallika Kanani, Virendra J. Marathe | Published: 2019-12-13
Potential adversarial samples for white-box attacks
Authors: Amir Nazemi, Paul Fieguth | Published: 2019-12-13
Detecting and Correcting Adversarial Images Using Image Processing Operations
Authors: Huy H. Nguyen, Minoru Kuribayashi, Junichi Yamagishi, Isao Echizen | Published: 2019-12-11 | Updated: 2019-12-30