Defending against Machine Learning based Inference Attacks via Adversarial Examples: Opportunities and Challenges

17 September 2019

Papers citing "Defending against Machine Learning based Inference Attacks via Adversarial Examples: Opportunities and Challenges"

6 / 6 papers shown

Title
Beyond Boundaries: A Comprehensive Survey of Transferable Attacks on AI Systems Guangjing Wang Ce Zhou Yuanda Wang Bocheng Chen Hanqing Guo Qiben Yan AAML SILM 68 3 0 20 Nov 2023
A Privacy-Preserving Energy Theft Detection Model for Effective Demand-Response Management in Smart Grids Arwa Alromih John A. Clark P. Gope 36 3 0 23 Mar 2023
Federated Learning With Highly Imbalanced Audio Data Marc C. Green Mark D. Plumbley FedML 32 3 0 18 May 2021
Face-Off: Adversarial Face Obfuscation Varun Chandrasekaran Chuhan Gao Brian Tang Kassem Fawaz S. Jha Suman Banerjee PICV 14 44 0 19 Mar 2020
Generative Adversarial Privacy Chong Huang Peter Kairouz Xiao Chen Lalitha Sankar Ram Rajagopal PICV 66 42 0 13 Jul 2018
Privacy Against Statistical Inference Flavio du Pin Calmon N. Fawaz FedML 100 345 0 08 Oct 2012