Leaky Nets: Recovering Embedded Neural Network Models and Inputs through Simple Power and Timing Side-Channels — Attacks and Defenses
Authors: Saurav Maji, Utsav Banerjee, Anantha P. Chandrakasan | Published: 2021-03-26
脆弱性評価手法
A Challenge Obfuscating Interface for Arbiter PUF Variants against Machine Learning Attacks
Authors: Yu Zhuang, Khalid T. Mursi, Li Gaoxiang | Published: 2021-03-24
DVERGE: Diversifying Vulnerabilities for Enhanced Robust Generation of Ensembles
Authors: Huanrui Yang, Jingyang Zhang, Hongliang Dong, Nathan Inkawhich, Andrew Gardner, Andrew Touchet, Wesley Wilkes, Heath Berry, Hai Li | Published: 2020-09-30 | Updated: 2020-10-18
SoK: Certified Robustness for Deep Neural Networks
Authors: Linyi Li, Tao Xie, Bo Li | Published: 2020-09-09 | Updated: 2023-04-12
Towards Memory Safe Python Enclave for Security Sensitive Computation
Authors: Huibo Wang, Mingshen Sun, Qian Feng, Pei Wang, Tongxin Li, Yu Ding | Published: 2020-05-12
Estimating g-Leakage via Machine Learning
Authors: Marco Romanelli, Konstantinos Chatzikokolakis, Catuscia Palamidessi, Pablo Piantanida | Published: 2020-05-09 | Updated: 2021-11-24
TOG: Targeted Adversarial Objectness Gradient Attacks on Real-time Object Detection Systems
Authors: Ka-Ho Chow, Ling Liu, Mehmet Emre Gursoy, Stacey Truex, Wenqi Wei, Yanzhao Wu | Published: 2020-04-09
Challenges in Forecasting Malicious Events from Incomplete Data
Authors: Nazgol Tavabi, Andrés Abeliuk, Negar Mokhberian, Jeremy Abramson, Kristina Lerman | Published: 2020-04-06
Artificial Intelligence Techniques for Security Vulnerability Prevention
Authors: Steve Kommrusch | Published: 2019-12-14
Certifiable Robustness to Graph Perturbations
Authors: Aleksandar Bojchevski, Stephan Günnemann | Published: 2019-10-31 | Updated: 2019-12-19