↑

Selected Publications

* Corresponding Author; # Co-First Author;__Students advised

A complete list can be found in [Google Scholar]

1. TraceEvader: Making DeepFakes More Untraceable via Evading the Forgery Model Attribution [CCF-A]

Mengjie Wu, Jingui Ma, Run Wang*, Sidan Zhang, Boheng Li, Chenhao Lin,Liming Fang, Lina Wang
(Acceptance rate: 2342/9862=23.75%) Accepted to appear

2. Free Fine-tuning: A Plug-and-Play Watermarking Scheme for Deep Neural Networks [CCF-A]

Run Wang, Jixing Ren, Boheng Li, Tianyi She, Wenhui Zhang, Liming Fang, Jing Chen, Lina Wang
(Acceptance rate: 902/3078=29.3%) Accepted to appear

3. What can Discriminator do? Towards Box-free Ownership Verification of Generative Adversarial Networks[CCF-A]

Ziheng Huang#, Boheng Li#, Yan Cai, Run Wang*, Shangwei Guo, Liming Fang, Jing Chen, Lina Wang.
(Acceptance rate: 690/2473=27.9%) Accepted to appear

4. Rethinking the Vulnerability of DNN Watermarking: Are Watermarks Robust against Naturalness-aware Perturbations? [CCF-A]

Run Wang, Haoxuan Li, Lingzhou Mu, Jixing Ren, Shangwei Guo, Li Liu, Liming Fang, Jing Chen, Lina Wang.
(Acceptance rate: 690/2473=27.9%) Accepted to appear

5. Anti-Forgery: Towards a Stealthy and Robust DeepFake Disruption Attack via Adversarial Perceptual-aware Perturbations[CCF-A]

Run Wang, Ziheng Huang, Zhikai Chen, Li Liu, Jing Chen, Lina Wang.
(Acceptance rate: 15%)

6. MetaFinger: Fingerprinting the Deep Neural Networks with Meta-training[CCF-A]

Kang Yang, Run Wang*, Lina Wang.
(Acceptance rate: 15%)

7. Countering Malicious DeepFakes: Survey, Battleground, and Horizon[CCF-A]

Felix Juefei-Xu, Run Wang*, Yihao Huang, Qing Guo, Lei Ma, Yang Liu.

8. Towards a Robust Deep Neural Network against Adversarial Texts: A Survey[CCF-A]

Wenqi Wang, Run Wang*, Lina Wang, Zhibo Wang, Aoshuang Ye.

9. FakeTagger: Robust Safeguards against DeepFake Dissemination via Provenance Tracking[CCF-A]

Run Wang, Felix Juefei-Xu, Meng Luo, Yang Liu, Lina Wang.
(Acceptance rate: 542/1942 = 27.9%)
Media coverage: Unit.AI, 新智元.

10. DeepSonar: Towards Effective and Robust Detection of AI-Synthesized Fake Voices[CCF-A]

Run Wang, Felix Juefei-Xu, Yihao Huang, Qing Guo, Xiaofei Xie, Lei Ma, Yang Liu.
(Oral Acceptance rate: 151/1698 = 8.8%) (Oral Presentation)

11. Amora: Black-box Adversarial Morphing Attack[CCF-A]

Run Wang, Felix Juefei-Xu, Qing Guo, Yihao Huang, Xiaofei Xie, Lei Ma, Yang Liu.
(Oral Acceptance rate: 151/1698 = 8.8%) (Oral Presentation)

12. FakePolisher: Making DeepFakes More Detection-Evasive by Shallow Reconstruction[CCF-A]

Yihao Huang, Felix Juefei-Xu,Run Wang*, Qing Guo, Lei Ma, Xiaofei Xie, Jianwen Li, Weikai Miao, Yang Liu, Geguang Pu.
(Oral Acceptance rate: 151/1698 = 8.8%) (Oral Presentation)

13. MGAttack: Toward More Query-efficient Black-box Attack by Microbial Genetic Algorithm[CCF-A]

Lina Wang, Kang Yang, Wenqi Wang, Run Wang*, Aoshuang Ye.
(Acceptance rate: 472/1698 = 27.8%)

14. FakeSpotter: A Simple yet Robust Baseline for Spotting AI-Synthesized Fake Faces[CCF-A]

Run Wang, Felix Juefei-Xu, Lei Ma, Xiaofei Xie, Yihao Huang, Jian Wang and Yang Liu.
(Acceptance rate: 592/4717 = 12.6%)
Media coverage: Synced Review.

15. SmartPI: Understanding Permission Implications of Android Apps from User Reviews[CCF-A]

Run Wang, Zhibo Wang, Benxiao Tang, Lei Zhao, Lina Wang.

Manuscripts/Preprints

A Novel Verifiable Fingerprinting Scheme for Generative Adversarial Networks

Guanlin Li, Guowen Xu, Han Qiu, Shangwei Guo, Run Wang, Jiwei Li, Tianwei Zhang.
arXiv preprint arXiv:2106.11760, 2021.
Copyright © S2PE Lab.
Designed and Developed by Zhihao Peng.