Differentially Private Label Protection in Split Learning
Authors: Xin Yang, Jiankai Sun, Yuanshun Yao, Junyuan Xie, Chong Wang | Published: 2022-03-04
Why adversarial training can hurt robust accuracy
Authors: Jacob Clarysse, Julia Hörrmann, Fanny Yang | Published: 2022-03-03
Label Leakage and Protection from Forward Embedding in Vertical Federated Learning
Authors: Jiankai Sun, Xin Yang, Yuanshun Yao, Chong Wang | Published: 2022-03-02 | Updated: 2022-05-25
Adversarial attacks on neural networks through canonical Riemannian foliations
Authors: Eliot Tron, Nicolas Couellan, Stéphane Puechmorel | Published: 2022-03-02 | Updated: 2024-09-18
PUMA: Performance Unchanged Model Augmentation for Training Data Removal
Authors: Ga Wu, Masoud Hashemi, Christopher Srinivasa | Published: 2022-03-02
A Method Based on Deep Learning for the Detection and Characterization of Cybersecurity Incidents in Internet of Things Devices
Authors: Jhon Alexánder Parra, Sergio Armando Gutiérrez, John Willian Branch | Published: 2022-03-01
Beyond Gradients: Exploiting Adversarial Priors in Model Inversion Attacks
Authors: Dmitrii Usynin, Daniel Rueckert, Georgios Kaissis | Published: 2022-03-01
Explaining RADAR features for detecting spoofing attacks in Connected Autonomous Vehicles
Authors: Nidhi Rastogi, Sara Rampazzi, Michael Clifford, Miriam Heller, Matthew Bishop, Karl Levitt | Published: 2022-03-01
Quantum Differential Privacy: An Information Theory Perspective
Authors: Christoph Hirche, Cambyse Rouzé, Daniel Stilck França | Published: 2022-02-22 | Updated: 2023-04-06
ICSML: Industrial Control Systems ML Framework for native inference using IEC 61131-3 code
Authors: Constantine Doumanidis, Prashant Hari Narayan Rajput, Michail Maniatakos | Published: 2022-02-21 | Updated: 2023-04-21