An Equivalence Between Data Poisoning and Byzantine Gradient Attacks
Authors: Sadegh Farhadkhani, Rachid Guerraoui, Lê-Nguyên Hoang, Oscar Villemaud | Published: 2022-02-17 | Updated: 2022-07-20
Understanding and Improving Graph Injection Attack by Promoting Unnoticeability
Authors: Yongqiang Chen, Han Yang, Yonggang Zhang, Kaili Ma, Tongliang Liu, Bo Han, James Cheng | Published: 2022-02-16 | Updated: 2022-04-05
Privacy-preserving Similarity Calculation of Speaker Features Using Fully Homomorphic Encryption
Authors: Yogachandran Rahulamathavan | Published: 2022-02-16 | Updated: 2022-03-14
SecGNN: Privacy-Preserving Graph Neural Network Training and Inference as a Cloud Service
Authors: Songlei Wang, Yifeng Zheng, Xiaohua Jia | Published: 2022-02-16 | Updated: 2023-01-31
Defending against Reconstruction Attacks with Rényi Differential Privacy
Authors: Pierre Stock, Igor Shilov, Ilya Mironov, Alexandre Sablayrolles | Published: 2022-02-15
StratDef: Strategic Defense Against Adversarial Attacks in ML-based Malware Detection
Authors: Aqib Rashid, Jose Such | Published: 2022-02-15 | Updated: 2023-04-24
Holistic Adversarial Robustness of Deep Learning Models
Authors: Pin-Yu Chen, Sijia Liu | Published: 2022-02-15 | Updated: 2023-01-05
Local Differential Privacy for Federated Learning
Authors: M. A. P. Chamikara, Dongxi Liu, Seyit Camtepe, Surya Nepal, Marthie Grobler, Peter Bertok, Ibrahim Khalil | Published: 2022-02-12 | Updated: 2022-08-03
Private Adaptive Optimization with Side Information
Authors: Tian Li, Manzil Zaheer, Sashank J. Reddi, Virginia Smith | Published: 2022-02-12 | Updated: 2022-06-25
A Characterization of Semi-Supervised Adversarially-Robust PAC Learnability
Authors: Idan Attias, Steve Hanneke, Yishay Mansour | Published: 2022-02-11 | Updated: 2024-05-05