research
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05/15/2020
Towards Assessment of Randomized Mechanisms for Certifying Adversarial Robustness
As a certified defensive technique, randomized smoothing has received co...
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research
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05/15/2020
Towards Assessment of Randomized Smoothing Mechanisms for Certifying Adversarial Robustness
As a certified defensive technique, randomized smoothing has received co...
research
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05/14/2020
Towards Understanding the Adversarial Vulnerability of Skeleton-based Action Recognition
Skeleton-based action recognition has attracted increasing attention due...
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04/26/2019
Towards Data Poisoning Attack against Knowledge Graph Embedding
Knowledge graph embedding (KGE) is a technique for learning continuous e...
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01/17/2019
FID: Function Modeling-based Data-Independent and Channel-Robust Physical-Layer Identification
Trusted identification is critical to secure IoT devices. However, the l...
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11/28/2018
Learning Saliency Maps for Adversarial Point-Cloud Generation
3D point-cloud recognition with deep neural network (DNN) has received r...
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10/10/2018
Is PGD-Adversarial Training Necessary? Alternative Training via a Soft-Quantization Network with Noisy-Natural Samples Only
Recent work on adversarial attack and defense suggests that PGD is a uni...
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08/16/2018