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Shengxing Yu

2 accepted papers

2022

Combating False Sense of Security: Breaking the Defense of Adversarial Training Via Non-Gradient Adversarial Attack

ICASSP 2022accepted

Adversarial training is believed to be the most robust and effective defense method against adversarial attacks. Gradient-based adversarial attack methods are generally adopted to evaluate the effectiveness of adversarial training. However, in this paper, by diving into the existing adversarial atta…

Cited by 0SourceScholar
2022

SecMPNN: 3-Party Privacy-Preserving Molecular Structure Properties Inference

ICASSP 2022accepted

Compound screening is a key step in the development of new drugs. Current high-throughput screening methods cannot be widely adopted by laboratories due to their expensive equipment and low efficiency. The booming deep learning in recent years has provided a new answer to this question. The message…

Cited by 0SourceScholar