Theoretical Foundations of Adversarially Robust Learning
Authors: Omar Montasser | Published: 2023-06-13
文献データベース
Few-shot Multi-domain Knowledge Rearming for Context-aware Defence against Advanced Persistent Threats
Authors: Gaolei Li, Yuanyuan Zhao, Wenqi Wei, Yuchen Liu | Published: 2023-06-13 | Updated: 2023-06-14
Differentially Private One Permutation Hashing and Bin-wise Consistent Weighted Sampling
Authors: Xiaoyun Li, Ping Li | Published: 2023-06-13
SRATTA : Sample Re-ATTribution Attack of Secure Aggregation in Federated Learning
Authors: Tanguy Marchand, Régis Loeb, Ulysse Marteau-Ferey, Jean Ogier du Terrail, Arthur Pignet | Published: 2023-06-13
Intrusion Detection: A Deep Learning Approach
Authors: Ishaan Shivhare, Joy Purohit, Vinay Jogani, Samina Attari, Madhav Chandane | Published: 2023-06-13
“Private Prediction Strikes Back!” Private Kernelized Nearest Neighbors with Individual Renyi Filter
Authors: Yuqing Zhu, Xuandong Zhao, Chuan Guo, Yu-Xiang Wang | Published: 2023-06-12
Gaussian Membership Inference Privacy
Authors: Tobias Leemann, Martin Pawelczyk, Gjergji Kasneci | Published: 2023-06-12 | Updated: 2023-10-26
On building machine learning pipelines for Android malware detection: a procedural survey of practices, challenges and opportunities
Authors: Masoud Mehrabi Koushki, Ibrahim AbuAlhaol, Anandharaju Durai Raju, Yang Zhou, Ronnie Salvador Giagone, Huang Shengqiang | Published: 2023-06-12
When Vision Fails: Text Attacks Against ViT and OCR
Authors: Nicholas Boucher, Jenny Blessing, Ilia Shumailov, Ross Anderson, Nicolas Papernot | Published: 2023-06-12
AnoFel: Supporting Anonymity for Privacy-Preserving Federated Learning
Authors: Ghada Almashaqbeh, Zahra Ghodsi | Published: 2023-06-12