Automating Privilege Escalation with Deep Reinforcement Learning
Authors: Kalle Kujanpää, Willie Victor, Alexander Ilin | Published: 2021-10-04
Leaked-Web: Accurate and Efficient Machine Learning-Based Website Fingerprinting Attack through Hardware Performance Counters
Authors: Han Wang | Published: 2021-10-04
SecFL: Confidential Federated Learning using TEEs
Authors: Do Le Quoc, Christof Fetzer | Published: 2021-10-03 | Updated: 2021-10-07
Evaluating Deep Learning Models and Adversarial Attacks on Accelerometer-Based Gesture Authentication
Authors: Elliu Huang, Fabio Di Troia, Mark Stamp | Published: 2021-10-03
Automating Internet of Things Network Traffic Collection with Robotic Arm Interactions
Authors: Xi Jiang, Noah Apthorpe | Published: 2021-09-30 | Updated: 2022-10-12
First to Possess His Statistics: Data-Free Model Extraction Attack on Tabular Data
Authors: Masataka Tasumi, Kazuki Iwahana, Naoto Yanai, Katsunari Shishido, Toshiya Shimizu, Yuji Higuchi, Ikuya Morikawa, Jun Yajima | Published: 2021-09-30
Secure Machine Learning over Relational Data
Authors: Qiyao Luo, Yilei Wang, Zhenghang Ren, Ke Yi, Kai Chen, Xiao Wang | Published: 2021-09-30
BulletTrain: Accelerating Robust Neural Network Training via Boundary Example Mining
Authors: Weizhe Hua, Yichi Zhang, Chuan Guo, Zhiru Zhang, G. Edward Suh | Published: 2021-09-29 | Updated: 2021-12-05
Fairness-Driven Private Collaborative Machine Learning
Authors: Dana Pessach, Tamir Tassa, Erez Shmueli | Published: 2021-09-29
Back in Black: A Comparative Evaluation of Recent State-Of-The-Art Black-Box Attacks
Authors: Kaleel Mahmood, Rigel Mahmood, Ethan Rathbun, Marten van Dijk | Published: 2021-09-29