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03/15/2023
The Devil's Advocate: Shattering the Illusion of Unexploitable Data using Diffusion Models
Protecting personal data against the exploitation of machine learning mo...
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10/13/2022
COLLIDER: A Robust Training Framework for Backdoor Data
Deep neural network (DNN) classifiers are vulnerable to backdoor attacks...
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09/13/2022
Adversarial Coreset Selection for Efficient Robust Training
Neural networks are vulnerable to adversarial attacks: adding well-craft...
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12/01/2021
ℓ_∞-Robustness and Beyond: Unleashing Efficient Adversarial Training
Neural networks are vulnerable to adversarial attacks: adding well-craft...
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07/15/2020
AdvFlow: Inconspicuous Black-box Adversarial Attacks using Normalizing Flows
Deep learning classifiers are susceptible to well-crafted, imperceptible...
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07/06/2020
Black-box Adversarial Example Generation with Normalizing Flows
Deep neural network classifiers suffer from adversarial vulnerability: w...
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01/15/2020