Minority Reports Defense: Defending Against Adversarial Patches
Authors: Michael McCoyd, Won Park, Steven Chen, Neil Shah, Ryan Roggenkemper, Minjune Hwang, Jason Xinyu Liu, David Wagner | Published: 2020-04-28
Literature Database
Adversarial Learning Guarantees for Linear Hypotheses and Neural Networks
Authors: Pranjal Awasthi, Natalie Frank, Mehryar Mohri | Published: 2020-04-28
Private Dataset Generation Using Privacy Preserving Collaborative Learning
Authors: Amit Chaulwar | Published: 2020-04-28
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
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