Chengfang Fang

Publication Activity (10 Years)

Years Active: 2008-2024
Publications (10 Years): 25

Top Topics

Countermeasures

Reinforcement Learning

Neural Network Model

Autonomous Driving

Top Venues

IEEE Trans. Dependable Secur. Comput.

Publications

Li Wang, Jiaqi Li, Yuhao Luo, Jiahao Zheng, Lei Wang, Hao Li, Ke Xu, Chengfang Fang, Jie Shi, Zhizheng Wu
ADVSV: An Over-the-Air Adversarial Attack Dataset for Speaker Verification. ICASSP (2024)
Rong Du, Qingqing Ye, Yue Fu, Haibo Hu, Jin Li, Chengfang Fang, Jie Shi
Differential Aggregation against General Colluding Attackers. ICDE (2023)
Li Wang, Jiaqi Li, Yuhao Luo, Jiahao Zheng, Lei Wang, Hao Li, Ke Xu, Chengfang Fang, Jie Shi, Zhizheng Wu
AdvSV: An Over-the-Air Adversarial Attack Dataset for Speaker Verification. CoRR (2023)
Mengao Zhang, Ke Xu, Hao Li, Lei Wang, Chengfang Fang, Jie Shi
DoubleDeceiver: Deceiving the Speaker Verification System Protected by Spoofing Countermeasures. INTERSPEECH (2023)
Han Fang, Jiyi Zhang, Yupeng Qiu, Ke Xu, Chengfang Fang, Ee-Chien Chang
Tracing the Origin of Adversarial Attack for Forensic Investigation and Deterrence. CoRR (2023)
Maura Pintor, Luca Demetrio, Angelo Sotgiu, Hsiao-Ying Lin, Chengfang Fang, Ambra Demontis, Battista Biggio
Detecting Attacks Against Deep Reinforcement Learning for Autonomous Driving. ICMLC (2023)
Zijun Lin, Ke Xu, Chengfang Fang, Huadi Zheng, Aneez Ahmed Jaheezuddin, Jie Shi
QUDA: Query-Limited Data-Free Model Extraction. AsiaCCS (2023)
Jiyi Zhang, Han Fang, Wesley Joon-Wie Tann, Ke Xu, Chengfang Fang, Ee-Chien Chang
Mitigating Adversarial Attacks by Distributing Different Copies to Different Buyers. AsiaCCS (2023)
Haoyang Li, Qingqing Ye, Haibo Hu, Jin Li, Leixia Wang, Chengfang Fang, Jie Shi
3DFed: Adaptive and Extensible Framework for Covert Backdoor Attack in Federated Learning. SP (2023)
Han Fang, Jiyi Zhang, Yupeng Qiu, Jiayang Liu, Ke Xu, Chengfang Fang, Ee-Chien Chang
Tracing the Origin of Adversarial Attack for Forensic Investigation and Deterrence. ICCV (2023)
Rong Du, Qingqing Ye, Yue Fu, Haibo Hu, Jin Li, Chengfang Fang, Jie Shi
Differential Aggregation against General Colluding Attackers. CoRR (2023)
Qingqing Ye, Haibo Hu, Xiaofeng Meng, Huadi Zheng, Kai Huang, Chengfang Fang, Jie Shi
PrivKVM*: Revisiting Key-Value Statistics Estimation With Local Differential Privacy. IEEE Trans. Dependable Secur. Comput. 20 (1) (2023)
Han Fang, Kejiang Chen, Yupeng Qiu, Jiayang Liu, Ke Xu, Chengfang Fang, Weiming Zhang, Ee-Chien Chang
DeNoL: A Few-Shot-Sample-Based Decoupling Noise Layer for Cross-channel Watermarking Robustness. ACM Multimedia (2023)
Huadi Zheng, Qingqing Ye, Haibo Hu, Chengfang Fang, Jie Shi
Protecting Decision Boundary of Machine Learning Model With Differentially Private Perturbation. IEEE Trans. Dependable Secur. Comput. 19 (3) (2022)
Ambra Demontis, Maura Pintor, Luca Demetrio, Kathrin Grosse, Hsiao-Ying Lin, Chengfang Fang, Battista Biggio, Fabio Roli
A Survey on Reinforcement Learning Security with Application to Autonomous Driving. CoRR (2022)
Yaxin Xiao, Qingqing Ye, Haibo Hu, Huadi Zheng, Chengfang Fang, Jie Shi
MExMI: Pool-based Active Model Extraction Crossover Membership Inference. NeurIPS (2022)
Xinyi Zhang, Chengfang Fang, Jie Shi
Thief, Beware of What Get You There: Towards Understanding Model Extraction Attack. CoRR (2021)
Lujia Shen, Shouling Ji, Xuhong Zhang, Jinfeng Li, Jing Chen, Jie Shi, Chengfang Fang, Jianwei Yin, Ting Wang
Backdoor Pre-trained Models Can Transfer to All. CoRR (2021)
Lujia Shen, Shouling Ji, Xuhong Zhang, Jinfeng Li, Jing Chen, Jie Shi, Chengfang Fang, Jianwei Yin, Ting Wang
Backdoor Pre-trained Models Can Transfer to All. CCS (2021)
An Zhang, Xiang Wang, Chengfang Fang, Jie Shi, Tat-Seng Chua, Zehua Chen
A-FMI: Learning Attributions from Deep Networks via Feature Map Importance. CoRR (2021)
Tianyu Du, Shouling Ji, Lujia Shen, Yao Zhang, Jinfeng Li, Jie Shi, Chengfang Fang, Jianwei Yin, Raheem Beyah, Ting Wang
Cert-RNN: Towards Certifying the Robustness of Recurrent Neural Networks. CCS (2021)
Hsiao-Ying Lin, Chengfang Fang, Jie Shi
Bident Structure for Neural Network Model Protection. ICISSP (2020)
Chang Liao, Yao Cheng, Chengfang Fang, Jie Shi
Where Does the Robustness Come from? A Study of the Transformation-based Ensemble Defence. CoRR (2020)
Chang Liao, Yao Cheng, Chengfang Fang, Jie Shi
Where Does the Robustness Come from?: A Study of the Transformation-based Ensemble Defence. AISec@CCS (2020)
Huadi Zheng, Qingqing Ye, Haibo Hu, Chengfang Fang, Jie Shi
BDPL: A Boundary Differentially Private Layer Against Machine Learning Model Extraction Attacks. ESORICS (1) (2019)
Chengfang Fang, Chunwang Zhang, Ee-Chien Chang
An Optimization Model for Aesthetic Two-Dimensional Barcodes. MMM (1) (2014)
Chengfang Fang, Ee-Chien Chang
Optimal strategy of coupon subset collection when each package contains half of the coupons. Inf. Process. Lett. 114 (12) (2014)
Chengfang Fang, Ee-Chien Chang
Differential privacy with δ-neighbourhood for spatial and dynamic datasets. AsiaCCS (2014)
Chengfang Fang, Ee-Chien Chang
Adaptive Differentially Private Histogram of Low-Dimensional Data. Privacy Enhancing Technologies (2012)
Chengfang Fang, Ee-Chien Chang
Publishing Location Dataset Differential Privately with Isotonic Regression CoRR (2011)
Chengfang Fang, Qiming Li, Ee-Chien Chang
Identity leakage mitigation on asymmetric secure sketch. IJCB (2011)
Xuejiao Liu, Chengfang Fang, Debao Xiao
Intrusion diagnosis and prediction with expert system. Secur. Commun. Networks 4 (12) (2011)
Jie Yu, Zhoujun Li, Peng Xiao, Chengfang Fang, Jia Xu, Ee-Chien Chang
ID Repetition in Structured P2P Networks. Comput. J. 54 (6) (2011)
Chengfang Fang, Ee-Chien Chang
Securing interactive sessions using mobile device through visual channel and visual inspection. ACSAC (2010)
Chengfang Fang, Qiming Li, Ee-Chien Chang
Secure Sketch for Multiple Secrets. ACNS (2010)
Ee-Chien Chang, Chengfang Fang, Jia Xu
A chameleon encryption scheme resistant to known-plaintext attack. Digital Rights Management Workshop (2010)
Chengfang Fang, Ee-Chien Chang
Securing Kiosk using Mobile Devices coupled with Visual Inspection CoRR (2010)
Jie Yu, Chengfang Fang, Liming Lu, Zhoujun Li
A Lightweight Mechanism to Mitigate Application Layer DDoS Attacks. Infoscale (2009)
Jie Yu, Chengfang Fang, Jia Xu, Ee-Chien Chang, Zhoujun Li
ID Repetition in Kad. Peer-to-Peer Computing (2009)
Chengfang Fang, Ee-Chien Chang
Information Leakage in Optimal Anonymized and Diversified Data. Information Hiding (2008)
Chengfang Fang, Ee-Chien Chang
Information Leakage in Optimal Anonymized and Diversified Data. IACR Cryptol. ePrint Arch. 2008 (2008)