Hide and Seek: on the Stealthiness of Attacks against Deep Learning Systems
Authors: Zeyan Liu, Fengjun Li, Jingqiang Lin, Zhu Li, Bo Luo | Published: 2022-05-31 | Updated: 2022-08-12
Dropbear: Machine Learning Marketplaces made Trustworthy with Byzantine Model Agreement
Authors: Alex Shamis, Peter Pietzuch, Antoine Delignat-Lavaud, Andrew Paverd, Manuel Costa | Published: 2022-05-31
Integrity Authentication in Tree Models
Authors: Weijie Zhao, Yingjie Lao, Ping Li | Published: 2022-05-30 | Updated: 2022-06-23
White-box Membership Attack Against Machine Learning Based Retinopathy Classification
Authors: Mounia Hamidouche, Reda Bellafqira, Gwenolé Quellec, Gouenou Coatrieux | Published: 2022-05-30
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