On the Detection of Image-Scaling Attacks in Machine Learning
Authors: Erwin Quiring, Andreas Müller, Konrad Rieck | Published: 2023-10-23
Zero-knowledge Proof Meets Machine Learning in Verifiability: A Survey
Authors: Zhibo Xing, Zijian Zhang, Jiamou Liu, Ziang Zhang, Meng Li, Liehuang Zhu, Giovanni Russello | Published: 2023-10-23
B^2SFL: A Bi-level Blockchained Architecture for Secure Federated Learning-based Traffic Prediction
Authors: Hao Guo, Collin Meese, Wanxin Li, Chien-Chung Shen, Mark Nejad | Published: 2023-10-23
Competitive Advantage Attacks to Decentralized Federated Learning
Authors: Yuqi Jia, Minghong Fang, Neil Zhenqiang Gong | Published: 2023-10-20
Fundamental Limits of Membership Inference Attacks on Machine Learning Models
Authors: Eric Aubinais, Elisabeth Gassiat, Pablo Piantanida | Published: 2023-10-20 | Updated: 2024-06-11
An LLM can Fool Itself: A Prompt-Based Adversarial Attack
Authors: Xilie Xu, Keyi Kong, Ning Liu, Lizhen Cui, Di Wang, Jingfeng Zhang, Mohan Kankanhalli | Published: 2023-10-20
Critical Path Prioritization Dashboard for Alert-driven Attack Graphs
Authors: Sònia Leal Díaz, Sergio Pastrana, Azqa Nadeem | Published: 2023-10-19
Network-Aware AutoML Framework for Software-Defined Sensor Networks
Authors: Emre Horsanali, Yagmur Yigit, Gokhan Secinti, Aytac Karameseoglu, Berk Canberk | Published: 2023-10-19 | Updated: 2023-10-25
Blind quantum machine learning with quantum bipartite correlator
Authors: Changhao Li, Boning Li, Omar Amer, Ruslan Shaydulin, Shouvanik Chakrabarti, Guoqing Wang, Haowei Xu, Hao Tang, Isidor Schoch, Niraj Kumar, Charles Lim, Ju Li, Paola Cappellaro, Marco Pistoia | Published: 2023-10-19
SecurityNet: Assessing Machine Learning Vulnerabilities on Public Models
Authors: Boyang Zhang, Zheng Li, Ziqing Yang, Xinlei He, Michael Backes, Mario Fritz, Yang Zhang | Published: 2023-10-19