| 2024 | ICASSP | ADVSV: An Over-the-Air Adversarial Attack Dataset for Speaker Verification. | Li Wang, Jiaqi Li, Yuhao Luo, Jiahao Zheng, Lei Wang, Hao Li, Ke Xu, Chengfang Fang, Jie Shi, Zhizheng Wu |
| 2023 | AsiaCCS | QUDA: Query-Limited Data-Free Model Extraction. | Zijun Lin, Ke Xu, Chengfang Fang, Huadi Zheng, Aneez Ahmed Jaheezuddin, Jie Shi |
| 2023 | AsiaCCS | Mitigating Adversarial Attacks by Distributing Different Copies to Different Buyers. | Jiyi Zhang, Han Fang, Wesley Joon-Wie Tann, Ke Xu, Chengfang Fang, Ee-Chien Chang |
| 2023 | ICCV | Tracing the Origin of Adversarial Attack for Forensic Investigation and Deterrence. | Han Fang, Jiyi Zhang, Yupeng Qiu, Jiayang Liu, Ke Xu, Chengfang Fang, Ee-Chien Chang |
| 2023 | ICDE | Differential Aggregation against General Colluding Attackers. | Rong Du, Qingqing Ye, Yue Fu, Haibo Hu, Jin Li, Chengfang Fang, Jie Shi |
| 2023 | ICMLC | Detecting Attacks Against Deep Reinforcement Learning for Autonomous Driving. | Maura Pintor, Luca Demetrio, Angelo Sotgiu, Hsiao-Ying Lin, Chengfang Fang, Ambra Demontis, Battista Biggio |
| 2023 | Interspeech | DoubleDeceiver: Deceiving the Speaker Verification System Protected by Spoofing Countermeasures. | Mengao Zhang, Ke Xu, Hao Li, Lei Wang, Chengfang Fang, Jie Shi |
| 2023 | SP | 3DFed: Adaptive and Extensible Framework for Covert Backdoor Attack in Federated Learning. | Haoyang Li, Qingqing Ye, Haibo Hu, Jin Li, Leixia Wang, Chengfang Fang, Jie Shi |
| 2021 | CCS | Cert-RNN: Towards Certifying the Robustness of Recurrent Neural Networks. | Tianyu Du, Shouling Ji, Lujia Shen, Yao Zhang, Jinfeng Li, Jie Shi, Chengfang Fang, Jianwei Yin, Raheem Beyah, Ting Wang |
| 2021 | CCS | Backdoor Pre-trained Models Can Transfer to All. | Lujia Shen, Shouling Ji, Xuhong Zhang, Jinfeng Li, Jing Chen, Jie Shi, Chengfang Fang, Jianwei Yin, Ting Wang |
| 2020 | CCS | Where Does the Robustness Come from?: A Study of the Transformation-based Ensemble Defence. | Chang Liao, Yao Cheng, Chengfang Fang, Jie Shi |
| 2020 | ICISSP | Bident Structure for Neural Network Model Protection. | Hsiao-Ying Lin, Chengfang Fang, Jie Shi |
| 2019 | ESORICS | BDPL: A Boundary Differentially Private Layer Against Machine Learning Model Extraction Attacks. | Huadi Zheng, Qingqing Ye, Haibo Hu, Chengfang Fang, Jie Shi |
| 2014 | CCS | Differential privacy with δ-neighbourhood for spatial and dynamic datasets. | Chengfang Fang, Ee-Chien Chang |
| 2014 | MMM | An Optimization Model for Aesthetic Two-Dimensional Barcodes. | Chengfang Fang, Chunwang Zhang, Ee-Chien Chang |
| 2010 | ACNS | Secure Sketch for Multiple Secrets. | Chengfang Fang, Qiming Li, Ee-Chien Chang |
| 2010 | ACSAC | Securing interactive sessions using mobile device through visual channel and visual inspection. | Chengfang Fang, Ee-Chien Chang |