BrainLeaks: On the Privacy-Preserving Properties of Neuromorphic Architectures against Model Inversion Attacks
Authors: Hamed Poursiami, Ihsen Alouani, Maryam Parsa | Published: 2024-02-01 | Updated: 2024-05-07
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opML: Optimistic Machine Learning on Blockchain
Authors: KD Conway, Cathie So, Xiaohang Yu, Kartin Wong | Published: 2024-01-31 | Updated: 2024-02-05
Game-Theoretic Unlearnable Example Generator
Authors: Shuang Liu, Yihan Wang, Xiao-Shan Gao | Published: 2024-01-31
Systematically Assessing the Security Risks of AI/ML-enabled Connected Healthcare Systems
Authors: Mohammed Elnawawy, Mohammadreza Hallajiyan, Gargi Mitra, Shahrear Iqbal, Karthik Pattabiraman | Published: 2024-01-30 | Updated: 2024-04-12
Data-Oblivious ML Accelerators using Hardware Security Extensions
Authors: Hossam ElAtali, John Z. Jekel, Lachlan J. Gunn, N. Asokan | Published: 2024-01-29
Blockchain-enabled Trustworthy Federated Unlearning
Authors: Yijing Lin, Zhipeng Gao, Hongyang Du, Jinke Ren, Zhiqiang Xie, Dusit Niyato | Published: 2024-01-29
L-AutoDA: Leveraging Large Language Models for Automated Decision-based Adversarial Attacks
Authors: Ping Guo, Fei Liu, Xi Lin, Qingchuan Zhao, Qingfu Zhang | Published: 2024-01-27 | Updated: 2024-05-22
Asymptotic Behavior of Adversarial Training Estimator under $\ell_\infty$-Perturbation
Authors: Yiling Xie, Xiaoming Huo | Published: 2024-01-27
Training Differentially Private Ad Prediction Models with Semi-Sensitive Features
Authors: Lynn Chua, Qiliang Cui, Badih Ghazi, Charlie Harrison, Pritish Kamath, Walid Krichene, Ravi Kumar, Pasin Manurangsi, Krishna Giri Narra, Amer Sinha, Avinash Varadarajan, Chiyuan Zhang | Published: 2024-01-26
GuardML: Efficient Privacy-Preserving Machine Learning Services Through Hybrid Homomorphic Encryption
Authors: Eugene Frimpong, Khoa Nguyen, Mindaugas Budzys, Tanveer Khan, Antonis Michalas | Published: 2024-01-26