A New Implementation of Federated Learning for Privacy and Security Enhancement
Authors: Xiang Ma, Haijian Sun, Rose Qingyang Hu, Yi Qian | Published: 2022-08-03
On the Evaluation of User Privacy in Deep Neural Networks using Timing Side Channel
Authors: Shubhi Shukla, Manaar Alam, Sarani Bhattacharya, Debdeep Mukhopadhyay, Pabitra Mitra | Published: 2022-08-01 | Updated: 2024-02-17
DNNShield: Dynamic Randomized Model Sparsification, A Defense Against Adversarial Machine Learning
Authors: Mohammad Hossein Samavatian, Saikat Majumdar, Kristin Barber, Radu Teodorescu | Published: 2022-07-31
Verifiable Encodings for Secure Homomorphic Analytics
Authors: Sylvain Chatel, Christian Knabenhans, Apostolos Pyrgelis, Carmela Troncoso, Jean-Pierre Hubaux | Published: 2022-07-28 | Updated: 2024-06-04
Gotham Testbed: a Reproducible IoT Testbed for Security Experiments and Dataset Generation
Authors: Xabier Sáez-de-Cámara, Jose Luis Flores, Cristóbal Arellano, Aitor Urbieta, Urko Zurutuza | Published: 2022-07-28 | Updated: 2023-07-27
Continuous User Authentication Using Machine Learning and Multi-Finger Mobile Touch Dynamics with a Novel Dataset
Authors: Zachary Deridder, Nyle Siddiqui, Thomas Reither, Rushit Dave, Brendan Pelto, Naeem Seliya, Mounika Vanamala | Published: 2022-07-27
Membership Inference Attacks via Adversarial Examples
Authors: Hamid Jalalzai, Elie Kadoche, Rémi Leluc, Vincent Plassier | Published: 2022-07-27 | Updated: 2022-11-23
Fine-grained Private Knowledge Distillation
Authors: Yuntong Li, Shaowei Wang, Yingying Wang, Jin Li, Yuqiu Qian, Bangzhou Xin, Wei Yang | Published: 2022-07-27 | Updated: 2023-04-06
Perception-Aware Attack: Creating Adversarial Music via Reverse-Engineering Human Perception
Authors: Rui Duan, Zhe Qu, Shangqing Zhao, Leah Ding, Yao Liu, Zhuo Lu | Published: 2022-07-26
LGV: Boosting Adversarial Example Transferability from Large Geometric Vicinity
Authors: Martin Gubri, Maxime Cordy, Mike Papadakis, Yves Le Traon, Koushik Sen | Published: 2022-07-26