Observational Auditing of Label Privacy
Authors: Iden Kalemaj, Luca Melis, Maxime Boucher, Ilya Mironov, Saeed Mahloujifar | Published: 2025-11-18
Detection of Poison Data for Backdoor Attacks
A Comprehensive Guide to Differential Privacy: From Theory to User Expectations
Authors: Napsu Karmitsa, Antti Airola, Tapio Pahikkala, Tinja Pitkämäki | Published: 2025-09-03
Privacy-Preserving Analytics for Smart Meter (AMI) Data: A Hybrid Approach to Comply with CPUC Privacy Regulations
Authors: Benjamin Westrich | Published: 2025-05-13
Data Poisoning against Differentially-Private Learners: Attacks and Defenses
Authors: Yuzhe Ma, Xiaojin Zhu, Justin Hsu | Published: 2019-03-23 | Updated: 2019-07-05
Detecting Backdoor Attacks on Deep Neural Networks by Activation Clustering
Authors: Bryant Chen, Wilka Carvalho, Nathalie Baracaldo, Heiko Ludwig, Benjamin Edwards, Taesung Lee, Ian Molloy, Biplav Srivastava | Published: 2018-11-09
TrISec: Training Data-Unaware Imperceptible Security Attacks on Deep Neural Networks
Authors: Faiq Khalid, Muhammad Abdullah Hanif, Semeen Rehman, Rehan Ahmed, Muhammad Shafique | Published: 2018-11-02 | Updated: 2020-05-14
Differentially Private Distributed Learning for Language Modeling Tasks
Authors: Vadim Popov, Mikhail Kudinov, Irina Piontkovskaya, Petr Vytovtov, Alex Nevidomsky | Published: 2017-12-20 | Updated: 2018-03-06
RON-Gauss: Enhancing Utility in Non-Interactive Private Data Release
Authors: Thee Chanyaswad, Changchang Liu, Prateek Mittal | Published: 2017-08-31 | Updated: 2018-10-16