Training quantum machine learning models on cloud without uploading the data
Authors: Guang Ping He | Published: 2024-09-06 | Updated: 2024-10-07
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Comment on Revisiting Neural Program Smoothing for Fuzzing
Authors: Dongdong She, Kexin Pei, Junfeng Yang, Baishakhi Ray, Suman Jana | Published: 2024-09-06
Poster: Developing an O-RAN Security Test Lab
Authors: Sotiris Michaelides, David Rupprecht, Katharina Kohls | Published: 2024-09-02
Defending against Model Inversion Attacks via Random Erasing
Authors: Viet-Hung Tran, Ngoc-Bao Nguyen, Son T. Mai, Hans Vandierendonck, Ngai-man Cheung | Published: 2024-09-02
Different Victims, Same Layout: Email Visual Similarity Detection for Enhanced Email Protection
Authors: Sachin Shukla, Omid Mirzaei | Published: 2024-08-29 | Updated: 2024-09-04
Mitigating Noise Detriment in Differentially Private Federated Learning with Model Pre-training
Authors: Huitong Jin, Yipeng Zhou, Laizhong Cui, Quan Z. Sheng | Published: 2024-08-18
Random Gradient Masking as a Defensive Measure to Deep Leakage in Federated Learning
Authors: Joon Kim, Sejin Park | Published: 2024-08-15
SAGE-RT: Synthetic Alignment data Generation for Safety Evaluation and Red Teaming
Authors: Anurakt Kumar, Divyanshu Kumar, Jatan Loya, Nitin Aravind Birur, Tanay Baswa, Sahil Agarwal, Prashanth Harshangi | Published: 2024-08-14
Fooling SHAP with Output Shuffling Attacks
Authors: Jun Yuan, Aritra Dasgupta | Published: 2024-08-12
Lancelot: Towards Efficient and Privacy-Preserving Byzantine-Robust Federated Learning within Fully Homomorphic Encryption
Authors: Siyang Jiang, Hao Yang, Qipeng Xie, Chuan Ma, Sen Wang, Guoliang Xing | Published: 2024-08-12