97 citations · 98 across the 4 of their papers we have counts for
4 papers
Advancing Adversarial Robustness Through Adversarial Logit Update
Hao Xuan, Peican Zhu, Xingyu Li
Deep Neural Networks are susceptible to adversarial perturbations. Adversarial training and adversarial purification are among the most widely recognized defense strategies. Althou…
Inspire creativity with ORIBA: Transform Artists' Original Characters into Chatbots through Large Language Model
Yuqian Sun, Xingyu Li, Ze Gao
This research delves into the intersection of illustration art and artificial intelligence (AI), focusing on how illustrators engage with AI agents that embody their original chara…
Synthetic Datasets for Autonomous Driving: A Survey
Zhihang Song, Zimin He, Xingyu Li +8
Autonomous driving techniques have been flourishing in recent years while thirsting for huge amounts of high-quality data. However, it is difficult for real-world datasets to keep…
Improving Adversarial Robustness with Self-Paced Hard-Class Pair Reweighting
Pengyue Hou, Jie Han, Xingyu Li
Deep Neural Networks are vulnerable to adversarial attacks. Among many defense strategies, adversarial training with untargeted attacks is one of the most effective methods. Theore…