Production of Categorical Data Verifying Differential Privacy: Conception and Applications to Machine Learning
Authors: Héber H. Arcolezi | Published: 2022-04-02
Literature Database
Scalable Whitebox Attacks on Tree-based Models
Authors: Giuseppe Castiglione, Gavin Ding, Masoud Hashemi, Christopher Srinivasa, Ga Wu | Published: 2022-03-31
Truth Serum: Poisoning Machine Learning Models to Reveal Their Secrets
Authors: Florian Tramèr, Reza Shokri, Ayrton San Joaquin, Hoang Le, Matthew Jagielski, Sanghyun Hong, Nicholas Carlini | Published: 2022-03-31 | Updated: 2022-10-06
Efficient Dropout-resilient Aggregation for Privacy-preserving Machine Learning
Authors: Ziyao Liu, Jiale Guo, Kwok-Yan Lam, Jun Zhao | Published: 2022-03-31
Differentially Private Federated Learning via Reconfigurable Intelligent Surface
Authors: Yuhan Yang, Yong Zhou, Youlong Wu, Yuanming Shi | Published: 2022-03-31
Privacy-Preserving Aggregation in Federated Learning: A Survey
Authors: Ziyao Liu, Jiale Guo, Wenzhuo Yang, Jiani Fan, Kwok-Yan Lam, Jun Zhao | Published: 2022-03-31 | Updated: 2022-07-13
Ransomware Detection using Process Memory
Authors: Avinash Singh, Richard Adeyemi Ikuesan, Hein Venter | Published: 2022-03-31
Cancellable Template Design for Privacy-Preserving EEG Biometric Authentication Systems
Authors: Min Wang, Song Wang, Jiankun Hu | Published: 2022-03-31
Spy in the GPU-box: Covert and Side Channel Attacks on Multi-GPU Systems
Authors: Sankha Baran Dutta, Hoda Naghibijouybari, Arjun Gupta, Nael Abu-Ghazaleh, Andres Marquez, Kevin Barker | Published: 2022-03-30
NICGSlowDown: Evaluating the Efficiency Robustness of Neural Image Caption Generation Models
Authors: Simin Chen, Zihe Song, Mirazul Haque, Cong Liu, Wei Yang | Published: 2022-03-29