Amplifying Membership Exposure via Data Poisoning
Authors: Yufei Chen, Chao Shen, Yun Shen, Cong Wang, Yang Zhang | Published: 2022-11-01
Poisoning
Multi-SpacePhish: Extending the Evasion-space of Adversarial Attacks against Phishing Website Detectors using Machine Learning
Authors: Ying Yuan, Giovanni Apruzzese, Mauro Conti | Published: 2022-10-24 | Updated: 2023-10-12
Ares: A System-Oriented Wargame Framework for Adversarial ML
Authors: Farhan Ahmed, Pratik Vaishnavi, Kevin Eykholt, Amir Rahmati | Published: 2022-10-24
New data poison attacks on machine learning classifiers for mobile exfiltration
Authors: Miguel A. Ramirez, Sangyoung Yoon, Ernesto Damiani, Hussam Al Hamadi, Claudio Agostino Ardagna, Nicola Bena, Young-Ji Byon, Tae-Yeon Kim, Chung-Suk Cho, Chan Yeob Yeun | Published: 2022-10-20
How Does a Deep Learning Model Architecture Impact Its Privacy? A Comprehensive Study of Privacy Attacks on CNNs and Transformers
Authors: Guangsheng Zhang, Bo Liu, Huan Tian, Tianqing Zhu, Ming Ding, Wanlei Zhou | Published: 2022-10-20 | Updated: 2024-02-02
MaSS: Multi-attribute Selective Suppression
Authors: Chun-Fu Chen, Shaohan Hu, Zhonghao Shi, Prateek Gulati, Bill Moriarty, Marco Pistoia, Vincenzo Piuri, Pierangela Samarati | Published: 2022-10-18 | Updated: 2022-10-24
Federated Learning with Privacy-Preserving Ensemble Attention Distillation
Authors: Xuan Gong, Liangchen Song, Rishi Vedula, Abhishek Sharma, Meng Zheng, Benjamin Planche, Arun Innanje, Terrence Chen, Junsong Yuan, David Doermann, Ziyan Wu | Published: 2022-10-16
Federated Learning for Tabular Data: Exploring Potential Risk to Privacy
Authors: Han Wu, Zilong Zhao, Lydia Y. Chen, Aad van Moorsel | Published: 2022-10-13
Boosting Adversarial Robustness From The Perspective of Effective Margin Regularization
Authors: Ziquan Liu, Antoni B. Chan | Published: 2022-10-11
DReS-FL: Dropout-Resilient Secure Federated Learning for Non-IID Clients via Secret Data Sharing
Authors: Jiawei Shao, Yuchang Sun, Songze Li, Jun Zhang | Published: 2022-10-06