MISA: Online Defense of Trojaned Models using Misattributions
Authors: Panagiota Kiourti, Wenchao Li, Anirban Roy, Karan Sikka, Susmit Jha | Published: 2021-03-29 | Updated: 2021-09-23
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Automating Defense Against Adversarial Attacks: Discovery of Vulnerabilities and Application of Multi-INT Imagery to Protect Deployed Models
Authors: Josh Kalin, David Noever, Matthew Ciolino, Dominick Hambrick, Gerry Dozier | Published: 2021-03-29
Privacy and Trust Redefined in Federated Machine Learning
Authors: Pavlos Papadopoulos, Will Abramson, Adam J. Hall, Nikolaos Pitropakis, William J. Buchanan | Published: 2021-03-29 | Updated: 2021-03-30
CyberLearning: Effectiveness Analysis of Machine Learning Security Modeling to Detect Cyber-Anomalies and Multi-Attacks
Authors: Iqbal H. Sarker | Published: 2021-03-28
Graph Unlearning
Authors: Min Chen, Zhikun Zhang, Tianhao Wang, Michael Backes, Mathias Humbert, Yang Zhang | Published: 2021-03-27 | Updated: 2022-09-16
Pervasive Label Errors in Test Sets Destabilize Machine Learning Benchmarks
Authors: Curtis G. Northcutt, Anish Athalye, Jonas Mueller | Published: 2021-03-26 | Updated: 2021-11-07
Leaky Nets: Recovering Embedded Neural Network Models and Inputs through Simple Power and Timing Side-Channels — Attacks and Defenses
Authors: Saurav Maji, Utsav Banerjee, Anantha P. Chandrakasan | Published: 2021-03-26
Adversarial Attacks on Deep Learning Based mmWave Beam Prediction in 5G and Beyond
Authors: Brian Kim, Yalin E. Sagduyu, Tugba Erpek, Sennur Ulukus | Published: 2021-03-25
Black-box Detection of Backdoor Attacks with Limited Information and Data
Authors: Yinpeng Dong, Xiao Yang, Zhijie Deng, Tianyu Pang, Zihao Xiao, Hang Su, Jun Zhu | Published: 2021-03-24
A Challenge Obfuscating Interface for Arbiter PUF Variants against Machine Learning Attacks
Authors: Yu Zhuang, Khalid T. Mursi, Li Gaoxiang | Published: 2021-03-24