Attacks on Image Encryption Schemes for Privacy-Preserving Deep Neural Networks
Authors: Alex Habeen Chang, Benjamin M. Case | Published: 2020-04-28 | Updated: 2020-04-29
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Data-Driven Model-Based Analysis of the Ethereum Verifier’s Dilemma
Authors: Maher Alharby, Roben Castagna Lunardi, Amjad Aldweesh, Aad van Moorsel | Published: 2020-04-27
Transferable Perturbations of Deep Feature Distributions
Authors: Nathan Inkawhich, Kevin J Liang, Lawrence Carin, Yiran Chen | Published: 2020-04-27
Printing and Scanning Attack for Image Counter Forensics
Authors: Hailey Joren, Otkrist Gupta, Dan Raviv | Published: 2020-04-27 | Updated: 2020-06-24
Bias Busters: Robustifying DL-based Lithographic Hotspot Detectors Against Backdooring Attacks
Authors: Kang Liu, Benjamin Tan, Gaurav Rajavendra Reddy, Siddharth Garg, Yiorgos Makris, Ramesh Karri | Published: 2020-04-26
Improved Image Wasserstein Attacks and Defenses
Authors: Edward J. Hu, Adith Swaminathan, Hadi Salman, Greg Yang | Published: 2020-04-26 | Updated: 2023-05-09
Privacy in Deep Learning: A Survey
Authors: Fatemehsadat Mireshghallah, Mohammadkazem Taram, Praneeth Vepakomma, Abhishek Singh, Ramesh Raskar, Hadi Esmaeilzadeh | Published: 2020-04-25 | Updated: 2020-11-07
Improved Adversarial Training via Learned Optimizer
Authors: Yuanhao Xiong, Cho-Jui Hsieh | Published: 2020-04-25
NetML: A Challenge for Network Traffic Analytics
Authors: Onur Barut, Yan Luo, Tong Zhang, Weigang Li, Peilong Li | Published: 2020-04-25
A Black-box Adversarial Attack Strategy with Adjustable Sparsity and Generalizability for Deep Image Classifiers
Authors: Arka Ghosh, Sankha Subhra Mullick, Shounak Datta, Swagatam Das, Rammohan Mallipeddi, Asit Kr. Das | Published: 2020-04-24 | Updated: 2021-09-09