Forensics for Adversarial Machine Learning through Attack Mapping Identification
Published in IEEE International Conference on Acoustics, Speech and Signal Processing, 2023, 2023
Recommended citation: A. Yan, J. Kim and R. Raich. (2023). "Forensics for Adversarial Machine Learning Through Attack Mapping Identification." ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). https://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=10095092
This paper proposes an attack mapping identification method that utilizes a pre-attack example recovery mechanism as a feature extraction method for performing post-attack forensic analysis of test-time adversarial attacks.
Recommended citation: A. Yan, J. Kim and R. Raich. (2023). "Forensics for Adversarial Machine Learning Through Attack Mapping Identification." ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).