Adversarial Machine Learning In Network Intrusion Detection Domain: A Systematic Review
Authors: Huda Ali Alatwi, Charles Morisset | Published: 2021-12-06
Does Proprietary Software Still Offer Protection of Intellectual Property in the Age of Machine Learning? — A Case Study using Dual Energy CT Data
Authors: Andreas Maier, Seung Hee Yang, Farhad Maleki, Nikesh Muthukrishnan, Reza Forghani | Published: 2021-12-06
When the Curious Abandon Honesty: Federated Learning Is Not Private
Authors: Franziska Boenisch, Adam Dziedzic, Roei Schuster, Ali Shahin Shamsabadi, Ilia Shumailov, Nicolas Papernot | Published: 2021-12-06 | Updated: 2023-04-12
Beyond Robustness: Resilience Verification of Tree-Based Classifiers
Authors: Stefano Calzavara, Lorenzo Cazzaro, Claudio Lucchese, Federico Marcuzzi, Salvatore Orlando | Published: 2021-12-05
Using Static and Dynamic Malware features to perform Malware Ascription
Authors: Jashanpreet Singh Sraw, Keshav Kumar | Published: 2021-12-05
SHAPr: An Efficient and Versatile Membership Privacy Risk Metric for Machine Learning
Authors: Vasisht Duddu, Sebastian Szyller, N. Asokan | Published: 2021-12-04 | Updated: 2022-09-05
PhishMatch: A Layered Approach for Effective Detection of Phishing URLs
Authors: Harshal Tupsamudre, Sparsh Jain, Sachin Lodha | Published: 2021-12-04
Node-wise Hardware Trojan Detection Based on Graph Learning
Authors: Kento Hasegawa, Kazuki Yamashita, Seira Hidano, Kazuhide Fukushima, Kazuo Hashimoto, Nozomu Togawa | Published: 2021-12-04 | Updated: 2022-03-16
Examining Zero-Shot Vulnerability Repair with Large Language Models
Authors: Hammond Pearce, Benjamin Tan, Baleegh Ahmad, Ramesh Karri, Brendan Dolan-Gavitt | Published: 2021-12-03 | Updated: 2022-08-15
Single-Shot Black-Box Adversarial Attacks Against Malware Detectors: A Causal Language Model Approach
Authors: James Lee Hu, Mohammadreza Ebrahimi, Hsinchun Chen | Published: 2021-12-03