MaskedNet: The First Hardware Inference Engine Aiming Power Side-Channel Protection
Authors: Anuj Dubey, Rosario Cammarota, Aydin Aysu | Published: 2019-10-29 | Updated: 2019-12-02
Active Subspace of Neural Networks: Structural Analysis and Universal Attacks
Authors: Chunfeng Cui, Kaiqi Zhang, Talgat Daulbaev, Julia Gusak, Ivan Oseledets, Zheng Zhang | Published: 2019-10-29 | Updated: 2020-04-29
Secure Evaluation of Quantized Neural Networks
Authors: Anders Dalskov, Daniel Escudero, Marcel Keller | Published: 2019-10-28 | Updated: 2021-03-01
Understanding and Quantifying Adversarial Examples Existence in Linear Classification
Authors: Xupeng Shi, A. Adam Ding | Published: 2019-10-27
Detection of Adversarial Attacks and Characterization of Adversarial Subspace
Authors: Mohammad Esmaeilpour, Patrick Cardinal, Alessandro Lameiras Koerich | Published: 2019-10-26
Automatic Driver Identification from In-Vehicle Network Logs
Authors: Mina Remeli, Szilvia Lestyan, Gergely Acs, Gergely Biczok | Published: 2019-10-25
Label Smoothing and Logit Squeezing: A Replacement for Adversarial Training?
Authors: Ali Shafahi, Amin Ghiasi, Furong Huang, Tom Goldstein | Published: 2019-10-25
Substra: a framework for privacy-preserving, traceable and collaborative Machine Learning
Authors: Mathieu N Galtier, Camille Marini | Published: 2019-10-25
Neurlux: Dynamic Malware Analysis Without Feature Engineering
Authors: Chani Jindal, Christopher Salls, Hojjat Aghakhani, Keith Long, Christopher Kruegel, Giovanni Vigna | Published: 2019-10-24
A Note on Our Submission to Track 4 of iDASH 2019
Authors: Marcel Keller, Ke Sun | Published: 2019-10-24