Run Wang

According to our database, Run Wang authored at least 46 papers between 2015 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

Hard Adversarial Example Mining for Improving Robust Fairness.

Chenhao Lin, Xiang Ji, Yulong Yang, Qian Li, Zhengyu Zhao, Zhe Peng, Run Wang, Liming Fang, Chao Shen

IEEE Trans. Inf. Forensics Secur., 2025

Exposing the Forgery Clues of DeepFakes via Exploring the Inconsistent Expression Cues.

Jiatong Liu, Lina Wang, Run Wang, Jianpeng Ke, Xi Ye, Yadi Wu

Int. J. Intell. Syst., 2025

Towards Reliable Verification of Unauthorized Data Usage in Personalized Text-to-Image Diffusion Models.

Boheng Li, Yanhao Wei, Yankai Fu, Zhenting Wang, Yiming Li, Jie Zhang, Run Wang, Tianwei Zhang

Proceedings of the IEEE Symposium on Security and Privacy, 2025

Transfer Learning of Real Image Features with Soft Contrastive Loss for Fake Image Detection.

Ziyou Liang, Weifeng Liu, Run Wang, Mengjie Wu, Boheng Li, Yuyang Zhang, Lina Wang, Xinyi Yang

Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025

Perception-Guided Jailbreak Against Text-to-Image Models.

Yihao Huang, Le Liang, Tianlin Li, Xiaojun Jia, Run Wang, Weikai Miao, Geguang Pu, Yang Liu

Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025

2024

Towards Action Hijacking of Large Language Model-based Agent.

Yuyang Zhang, Kangjie Chen, Xudong Jiang, Yuxiang Sun, Run Wang, Lina Wang

CoRR, 2024

Text Modality Oriented Image Feature Extraction for Detecting Diffusion-based DeepFake.

Di Yang, Yihao Huang, Qing Guo, Felix Juefei-Xu, Xiaojun Jia, Run Wang, Geguang Pu, Yang Liu

CoRR, 2024

Let Real Images be as a Judger, Spotting Fake Images Synthesized with Generative Models.

Ziyou Liang, Run Wang, Weifeng Liu, Yuyang Zhang, Wenyuan Yang, Lina Wang, Xingkai Wang

CoRR, 2024

SSL-OTA: Unveiling Backdoor Threats in Self-Supervised Learning for Object Detection.

Qiannan Wang, Changchun Yin, Liming Fang, Lu Zhou, Zhe Liu, Run Wang, Chenhao Lin

CoRR, 2024

GhostEncoder: Stealthy backdoor attacks with dynamic triggers to pre-trained encoders in self-supervised learning.

Qiannan Wang, Changchun Yin, Liming Fang, Zhe Liu, Run Wang, Chenhao Lin

Comput. Secur., 2024

Purifying Quantization-conditioned Backdoors via Layer-wise Activation Correction with Distribution Approximation.

Boheng Li, Yishuo Cai, Jisong Cai, Yiming Li, Han Qiu, Run Wang, Tianwei Zhang

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Fingerprinting Image-to-Image Generative Adversarial Networks.

Guanlin Li, Guowen Xu, Han Qiu, Shangwei Guo, Run Wang, Jiwei Li, Tianwei Zhang, Rongxing Lu

Proceedings of the 9th IEEE European Symposium on Security and Privacy, 2024

TraceEvader: Making DeepFakes More Untraceable via Evading the Forgery Model Attribution.

Mengjie Wu, Jingui Ma, Run Wang, Sidan Zhang, Ziyou Liang, Boheng Li, Chenhao Lin, Liming Fang, Lina Wang

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Towards a Robust Deep Neural Network Against Adversarial Texts: A Survey.

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

IEEE Trans. Knowl. Data Eng., March, 2023

SSL-Auth: An Authentication Framework by Fragile Watermarking for Pre-trained Encoders in Self-supervised Learning.

Xiaobei Li, Changchun Yin, Liming Fang, Run Wang, Chenhao Lin

CoRR, 2023

Hard Adversarial Example Mining for Improving Robust Fairness.

Chenhao Lin, Xiang Ji, Yulong Yang, Qian Li, Chao Shen, Run Wang, Liming Fang

CoRR, 2023

What can Discriminator do? Towards Box-free Ownership Verification of Generative Adversarial Network.

Ziheng Huang, Boheng Li, Yan Cai, Run Wang, Shangwei Guo, Liming Fang, Jing Chen, Lina Wang

CoRR, 2023

Dual-level Interaction for Domain Adaptive Semantic Segmentation.

Dongyu Yao, Boheng Li, Run Wang, Lina Wang

CoRR, 2023

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

Run Wang, Jixing Ren, Boheng Li, Tianyi She, Wenhui Zhang, Liming Fang, Jing Chen, Lina Wang

Proceedings of the 31st ACM International Conference on Multimedia, 2023

What can Discriminator do? Towards Box-free Ownership Verification of Generative Adversarial Networks.

Ziheng Huang, Boheng Li, Yan Cai, Run Wang, Shangwei Guo, Liming Fang, Jing Chen, Lina Wang

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

2022

Better constraints of imperceptibility, better adversarial examples in the text.

Wenqi Wang, Lina Wang, Run Wang, Aoshuang Ye, Jianpeng Ke

Int. J. Intell. Syst., 2022

Countering Malicious DeepFakes: Survey, Battleground, and Horizon.

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

Int. J. Comput. Vis., 2022

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

Run Wang, Jixing Ren, Boheng Li, Tianyi She, Chenhao Lin, Liming Fang, Jing Chen, Chao Shen, Lina Wang

CoRR, 2022

Rethinking the Vulnerability of DNN Watermarking: Are Watermarks Robust against Naturalness-aware Perturbations?

Run Wang, Haoxuan Li, Lingzhou Mu, Jixing Ren, Shangwei Guo, Li Liu, Liming Fang, Jing Chen, Lina Wang

Proceedings of the MM '22: The 30th ACM International Conference on Multimedia, Lisboa, Portugal, October 10, 2022

Improving Robustness Verification of Neural Networks with General Activation Functions via Branching and Optimization.

Zhengwu Luo, Lina Wang, Run Wang, Kang Yang, Aoshuang Ye

Proceedings of the International Joint Conference on Neural Networks, 2022

MetaFinger: Fingerprinting the Deep Neural Networks with Meta-training.

Kang Yang, Run Wang, Lina Wang

Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

Anti-Forgery: Towards a Stealthy and Robust DeepFake Disruption Attack via Adversarial Perceptual-aware Perturbations.

Run Wang, Ziheng Huang, Zhikai Chen, Li Liu, Jing Chen, Lina Wang

Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

2021

A Stealthy and Robust Fingerprinting Scheme for Generative Models.

Guanlin Li, Shangwei Guo, Run Wang, Guowen Xu, Tianwei Zhang

CoRR, 2021

An End-to-End Rumor Detection Model Based on Feature Aggregation.

Aoshuang Ye, Lina Wang, Run Wang, Wenqi Wang, Jianpeng Ke, Danlei Wang

Complex., 2021

TextFirewall: Omni-Defending Against Adversarial Texts in Sentiment Classification.

Wenqi Wang, Run Wang, Jianpeng Ke, Lina Wang

IEEE Access, 2021

FakeTagger: Robust Safeguards against DeepFake Dissemination via Provenance Tracking.

Run Wang, Felix Juefei-Xu, Meng Luo, Yang Liu, Lina Wang

Proceedings of the MM '21: ACM Multimedia Conference, Virtual Event, China, October 20, 2021

Exposing DeepFakes via Localizing the Manipulated Artifacts.

Wenxin Li, Qi Wang, Run Wang, Lei Zhao, Lina Wang

Proceedings of the Information and Communications Security - 23rd International Conference, 2021

2020

SmartPI: Understanding Permission Implications of Android Apps from User Reviews.

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

IEEE Trans. Mob. Comput., 2020

FakeLocator: Robust Localization of GAN-Based Face Manipulations via Semantic Segmentation Networks with Bells and Whistles.

Yihao Huang, Felix Juefei-Xu, Run Wang, Xiaofei Xie, Lei Ma, Jianwen Li, Weikai Miao, Yang Liu, Geguang Pu

CoRR, 2020

MGAAttack: Toward More Query-efficient Black-box Attack by Microbial Genetic Algorithm.

Lina Wang, Kang Yang, Wenqi Wang, Run Wang, Aoshuang Ye

Proceedings of the MM '20: The 28th ACM International Conference on Multimedia, 2020

DeepSonar: Towards Effective and Robust Detection of AI-Synthesized Fake Voices.

Run Wang, Felix Juefei-Xu, Yihao Huang, Qing Guo, Xiaofei Xie, Lei Ma, Yang Liu

Proceedings of the MM '20: The 28th ACM International Conference on Multimedia, 2020

Amora: Black-box Adversarial Morphing Attack.

Run Wang, Felix Juefei-Xu, Qing Guo, Yihao Huang, Xiaofei Xie, Lei Ma, Yang Liu

Proceedings of the MM '20: The 28th ACM International Conference on Multimedia, 2020

FakePolisher: Making DeepFakes More Detection-Evasive by Shallow Reconstruction.

Yihao Huang, Felix Juefei-Xu, Run Wang, Qing Guo, Lei Ma, Xiaofei Xie, Jianwen Li, Weikai Miao, Yang Liu, Geguang Pu

Proceedings of the MM '20: The 28th ACM International Conference on Multimedia, 2020

FakeSpotter: A Simple yet Robust Baseline for Spotting AI-Synthesized Fake Faces.

Run Wang, Felix Juefei-Xu, Lei Ma, Xiaofei Xie, Yihao Huang, Jian Wang, Yang Liu

Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

2019

Amora: Black-box Adversarial Morphing Attack.

Run Wang, Felix Juefei-Xu, Xiaofei Xie, Lei Ma, Yihao Huang, Yang Liu

CoRR, 2019

FakeSpotter: A Simple Baseline for Spotting AI-Synthesized Fake Faces.

Run Wang, Lei Ma, Felix Juefei-Xu, Xiaofei Xie, Jian Wang, Yang Liu

CoRR, 2019

A survey on Adversarial Attacks and Defenses in Text.

Wenqi Wang, Benxiao Tang, Run Wang, Lina Wang, Aoshuang Ye

CoRR, 2019

Capturing the Persistence of Facial Expression Features for Deepfake Video Detection.

Yiru Zhao, Wanfeng Ge, Wenxin Li, Run Wang, Lei Zhao, Jiang Ming

Proceedings of the Information and Communications Security - 21st International Conference, 2019

2018

Niffler: A Context-Aware and User-Independent Side-Channel Attack System for Password Inference.

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

Wirel. Commun. Mob. Comput., 2018

2017

deExploit: Identifying misuses of input data to diagnose memory-corruption exploits at the binary level.

Run Wang, Pei Liu, Lei Zhao, Yueqiang Cheng, Lina Wang

J. Syst. Softw., 2017

2015

Reversing and Identifying Overwritten Data Structures for Memory-Corruption Exploit Diagnosis.

Lei Zhao, Run Wang, Lina Wang, Yueqiang Cheng

Proceedings of the 39th IEEE Annual Computer Software and Applications Conference, 2015