Hijack Vertical Federated Learning Models As One Party
Authors: Pengyu Qiu, Xuhong Zhang, Shouling Ji, Changjiang Li, Yuwen Pu, Xing Yang, Ting Wang | Published: 2022-12-01 | Updated: 2024-02-16
Optimization Problem
Tight Certification of Adversarially Trained Neural Networks via Nonconvex Low-Rank Semidefinite Relaxations
Authors: Hong-Ming Chiu, Richard Y. Zhang | Published: 2022-11-30 | Updated: 2023-06-14
Traditional Classification Neural Networks are Good Generators: They are Competitive with DDPMs and GANs
Authors: Guangrun Wang, Philip H. S. Torr | Published: 2022-11-27 | Updated: 2022-12-08
Reinforcement Learning for Hardware Security: Opportunities, Developments, and Challenges
Authors: Satwik Patnaik, Vasudev Gohil, Hao Guo, Jeyavijayan, Rajendran | Published: 2022-08-29
Understanding the Limits of Poisoning Attacks in Episodic Reinforcement Learning
Authors: Anshuka Rangi, Haifeng Xu, Long Tran-Thanh, Massimo Franceschetti | Published: 2022-08-29
Best Subset Selection with Efficient Primal-Dual Algorithm
Authors: Shaogang Ren, Guanhua Fang, Ping Li | Published: 2022-07-05
Investigating Positive and Negative Qualities of Human-in-the-Loop Optimization for Designing Interaction Techniques
Authors: Liwei Chan, Yi-Chi Liao, George B. Mo, John J. Dudley, Chun-Lien Cheng, Per Ola Kristensson, Antti Oulasvirta | Published: 2022-04-15
Optimal Accounting of Differential Privacy via Characteristic Function
Authors: Yuqing Zhu, Jinshuo Dong, Yu-Xiang Wang | Published: 2021-06-16 | Updated: 2022-05-31
Security Concerns on Machine Learning Solutions for 6G Networks in mmWave Beam Prediction
Authors: Ferhat Ozgur Catak, Evren Catak, Murat Kuzlu, Umit Cali, Devrim Unal | Published: 2021-05-09 | Updated: 2021-07-23
Encrypted Distributed Lasso for Sparse Data Predictive Control
Authors: Andreea B. Alexandru, Anastasios Tsiamis, George J. Pappas | Published: 2021-04-23