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05/24/2023
Introducing Competition to Boost the Transferability of Targeted Adversarial Examples through Clean Feature Mixup
Deep neural networks are widely known to be susceptible to adversarial e...
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04/27/2023
Improving the Utility of Differentially Private Clustering through Dynamical Processing
This study aims to alleviate the trade-off between utility and privacy i...
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03/17/2022
Improving the Transferability of Targeted Adversarial Examples through Object-Based Diverse Input
The transferability of adversarial examples allows the deception on blac...
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11/08/2021
Geometrically Adaptive Dictionary Attack on Face Recognition
CNN-based face recognition models have brought remarkable performance im...
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01/13/2021
Small Input Noise is Enough to Defend Against Query-based Black-box Attacks
While deep neural networks show unprecedented performance in various tas...
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12/03/2020
Robust Federated Learning with Noisy Labels
Federated learning is a paradigm that enables local devices to jointly t...
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10/10/2019