Evaluating Automated Driving Planner Robustness against Adversarial Influence
Authors: Andres Molina-Markham, Silvia G. Ionescu, Erin Lanus, Derek Ng, Sam Sommerer, Joseph J. Rushanan | Published: 2022-05-29
A Blessing of Dimensionality in Membership Inference through Regularization
Authors: Jasper Tan, Daniel LeJeune, Blake Mason, Hamid Javadi, Richard G. Baraniuk | Published: 2022-05-27 | Updated: 2023-04-14
Auditing Differential Privacy in High Dimensions with the Kernel Quantum Rényi Divergence
Authors: Carles Domingo-Enrich, Youssef Mroueh | Published: 2022-05-27
How to Peel a Million: Validating and Expanding Bitcoin Clusters
Authors: George Kappos, Haaroon Yousaf, Rainer Stütz, Sofia Rollet, Bernhard Haslhofer, Sarah Meiklejohn | Published: 2022-05-27
Machine Learning-based Ransomware Detection Using Low-level Memory Access Patterns Obtained From Live-forensic Hypervisor
Authors: Manabu Hirano, Ryotaro Kobayashi | Published: 2022-05-27 | Updated: 2022-08-18
R-HTDetector: Robust Hardware-Trojan Detection Based on Adversarial Training
Authors: Kento Hasegawa, Seira Hidano, Kohei Nozawa, Shinsaku Kiyomoto, Nozomu Togawa | Published: 2022-05-27
Adversarial attacks and defenses in Speaker Recognition Systems: A survey
Authors: Jiahe Lan, Rui Zhang, Zheng Yan, Jie Wang, Yu Chen, Ronghui Hou | Published: 2022-05-27
A Large Scale Study and Classification of VirusTotal Reports on Phishing and Malware URLs
Authors: Euijin Choo, Mohamed Nabeel, Ravindu De Silva, Ting Yu, Issa Khalil | Published: 2022-05-26
Surprises in adversarially-trained linear regression
Authors: Antônio H. Ribeiro, Dave Zachariah, Thomas B. Schön | Published: 2022-05-25 | Updated: 2022-10-20
Towards a Fair Comparison and Realistic Evaluation Framework of Android Malware Detectors based on Static Analysis and Machine Learning
Authors: Borja Molina-Coronado, Usue Mori, Alexander Mendiburu, Jose Miguel-Alonso | Published: 2022-05-25 | Updated: 2022-10-06