activity
20202024
most citedOn the Robustness of ChatGPT: An Adversarial and Out-of-distribution Perspective

92 citations · 101 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CV2024

SpecFormer: Guarding Vision Transformer Robustness via Maximum Singular Value Penalization

Xixu Hu, Runkai Zheng, Jindong Wang +3

Vision Transformers (ViTs) are increasingly used in computer vision due to their high performance, but their vulnerability to adversarial attacks is a concern. Existing methods lac…

cs.AI2023★ 92 cited

On the Robustness of ChatGPT: An Adversarial and Out-of-distribution Perspective

Jindong Wang, Xixu Hu, Wenxin Hou +10

ChatGPT is a recent chatbot service released by OpenAI and is receiving increasing attention over the past few months. While evaluations of various aspects of ChatGPT have been don…

cs.LG2022★ 1 cited

Bayesian Optimization Augmented with Actively Elicited Expert Knowledge

Daolang Huang, Louis Filstroff, Petrus Mikkola +2

Bayesian optimization (BO) is a well-established method to optimize black-box functions whose direct evaluations are costly. In this paper, we tackle the problem of incorporating e…

cs.LG2022★ 5 cited

Data-free Backdoor Removal based on Channel Lipschitzness

Runkai Zheng, Rongjun Tang, Jianze Li +1

Recent studies have shown that Deep Neural Networks (DNNs) are vulnerable to the backdoor attacks, which leads to malicious behaviors of DNNs when specific triggers are attached to…

cs.LG2020★ 3 cited

Learning Class Unique Features in Fine-Grained Visual Classification

Runkai Zheng, Zhijia Yu, Yinqi Zhang +3

A major challenge in Fine-Grained Visual Classification (FGVC) is distinguishing various categories with high inter-class similarity by learning the feature that differentiate the…