The Role of Adaptive Optimizers for Honest Private Hyperparameter Selection
Authors: Shubhankar Mohapatra, Sajin Sasy, Xi He, Gautam Kamath, Om Thakkar | Published: 2021-11-09
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Distribution-Invariant Differential Privacy
Authors: Xuan Bi, Xiaotong Shen | Published: 2021-11-08 | Updated: 2022-06-06
Bayesian Framework for Gradient Leakage
Authors: Mislav Balunović, Dimitar I. Dimitrov, Robin Staab, Martin Vechev | Published: 2021-11-08 | Updated: 2022-03-17
HAPSSA: Holistic Approach to PDF Malware Detection Using Signal and Statistical Analysis
Authors: Tajuddin Manhar Mohammed, Lakshmanan Nataraj, Satish Chikkagoudar, Shivkumar Chandrasekaran, B. S. Manjunath | Published: 2021-11-08
Robust and Information-theoretically Safe Bias Classifier against Adversarial Attacks
Authors: Lijia Yu, Xiao-Shan Gao | Published: 2021-11-08 | Updated: 2022-02-14
Get a Model! Model Hijacking Attack Against Machine Learning Models
Authors: Ahmed Salem, Michael Backes, Yang Zhang | Published: 2021-11-08
Graph Robustness Benchmark: Benchmarking the Adversarial Robustness of Graph Machine Learning
Authors: Qinkai Zheng, Xu Zou, Yuxiao Dong, Yukuo Cen, Da Yin, Jiarong Xu, Yang Yang, Jie Tang | Published: 2021-11-08
An Adaptive Honeypot Configuration, Deployment and Maintenance Strategy
Authors: Daniel Fraunholz, Marc Zimmermann, Hans D. Schotten | Published: 2021-11-06
Secure Machine Learning in the Cloud Using One Way Scrambling by Deconvolution
Authors: Yiftach Savransky, Roni Mateless, Gilad Katz | Published: 2021-11-04
Adversarial Attacks on Graph Classification via Bayesian Optimisation
Authors: Xingchen Wan, Henry Kenlay, Binxin Ru, Arno Blaas, Michael A. Osborne, Xiaowen Dong | Published: 2021-11-04