Perturbing Across the Feature Hierarchy to Improve Standard and Strict Blackbox Attack Transferability
Authors: Nathan Inkawhich, Kevin J Liang, Binghui Wang, Matthew Inkawhich, Lawrence Carin, Yiran Chen | Published: 2020-04-29
Wide-AdGraph: Detecting Ad Trackers with a Wide Dependency Chain Graph
Authors: Amir Hossein Kargaran, Mohammad Sadegh Akhondzadeh, Mohammad Reza Heidarpour, Mohammad Hossein Manshaei, Kave Salamatian, Masoud Nejad Sattary | Published: 2020-04-29 | Updated: 2021-05-10
Dynamic Anomaly Detection with High-fidelity Simulators: A Convex Optimization Approach
Authors: Kaikai Pan, Peter Palensky, Peyman Mohajerin Esfahani | Published: 2020-04-29 | Updated: 2020-10-06
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
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