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06/02/2023
Adaptive Attractors: A Defense Strategy against ML Adversarial Collusion Attacks
In the seller-buyer setting on machine learning models, the seller gener...
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05/10/2023
Finding Meaningful Distributions of ML Black-boxes under Forensic Investigation
Given a poorly documented neural network model, we take the perspective ...
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12/31/2022
Tracing the Origin of Adversarial Attack for Forensic Investigation and Deterrence
Deep neural networks are vulnerable to adversarial attacks. In this pape...
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06/27/2022
De-END: Decoder-driven Watermarking Network
With recent advances in machine learning, researchers are now able to so...
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11/30/2021
Mitigating Adversarial Attacks by Distributing Different Copies to Different Users
Machine learning models are vulnerable to adversarial attacks. In this p...
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03/05/2020
Detection and Recovery of Adversarial Attacks with Injected Attractors
Many machine learning adversarial attacks find adversarial samples of a ...
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02/13/2018
