Robust and Information-theoretically Safe Bias Classifier against Adversarial Attacks
Authors: Lijia Yu, Xiao-Shan Gao | Published: 2021-11-08 | Updated: 2022-02-14
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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
A Cyber Threat Intelligence Sharing Scheme based on Federated Learning for Network Intrusion Detection
Authors: Mohanad Sarhan, Siamak Layeghy, Nour Moustafa, Marius Portmann | Published: 2021-11-04
A Comparative Analysis of Machine Learning Algorithms for Intrusion Detection in Edge-Enabled IoT Networks
Authors: Poornima Mahadevappa, Syeda Mariam Muzammal, Raja Kumar Murugesan | Published: 2021-11-02
Don’t Generate Me: Training Differentially Private Generative Models with Sinkhorn Divergence
Authors: Tianshi Cao, Alex Bie, Arash Vahdat, Sanja Fidler, Karsten Kreis | Published: 2021-11-01 | Updated: 2021-11-29
Availability Attacks Create Shortcuts
Authors: Da Yu, Huishuai Zhang, Wei Chen, Jian Yin, Tie-Yan Liu | Published: 2021-11-01 | Updated: 2022-06-02