XRand: Differentially Private Defense against Explanation-Guided Attacks
Authors: Truc Nguyen, Phung Lai, NhatHai Phan, My T. Thai | Published: 2022-12-08 | Updated: 2022-12-14
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Vicious Classifiers: Assessing Inference-time Data Reconstruction Risk in Edge Computing
Authors: Mohammad Malekzadeh, Deniz Gunduz | Published: 2022-12-08 | Updated: 2024-10-01
RADAR: A TTP-based Extensible, Explainable, and Effective System for Network Traffic Analysis and Malware Detection
Authors: Yashovardhan Sharma, Simon Birnbach, Ivan Martinovic | Published: 2022-12-07 | Updated: 2023-04-13
Reconstructing Training Data from Model Gradient, Provably
Authors: Zihan Wang, Jason D. Lee, Qi Lei | Published: 2022-12-07 | Updated: 2023-06-10
Towards Fleet-wide Sharing of Wind Turbine Condition Information through Privacy-preserving Federated Learning
Authors: Lorin Jenkel, Stefan Jonas, Angela Meyer | Published: 2022-12-07 | Updated: 2023-07-12
On the Discredibility of Membership Inference Attacks
Authors: Shahbaz Rezaei, Xin Liu | Published: 2022-12-06 | Updated: 2023-04-28
StyleGAN as a Utility-Preserving Face De-identification Method
Authors: Seyyed Mohammad Sadegh Moosavi Khorzooghi, Shirin Nilizadeh | Published: 2022-12-05 | Updated: 2023-08-31
Pareto Regret Analyses in Multi-objective Multi-armed Bandit
Authors: Mengfan Xu, Diego Klabjan | Published: 2022-12-01 | Updated: 2023-05-30
HashVFL: Defending Against Data Reconstruction Attacks in Vertical Federated Learning
Authors: Pengyu Qiu, Xuhong Zhang, Shouling Ji, Chong Fu, Xing Yang, Ting Wang | Published: 2022-12-01 | Updated: 2024-01-22
Hijack Vertical Federated Learning Models As One Party
Authors: Pengyu Qiu, Xuhong Zhang, Shouling Ji, Changjiang Li, Yuwen Pu, Xing Yang, Ting Wang | Published: 2022-12-01 | Updated: 2024-02-16