Chengfang Fang

According to our database, Chengfang Fang authored at least 37 papers between 2008 and 2024.

Collaborative distances:

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

2024

Perfect Gradient Inversion in Federated Learning: A New Paradigm from the Hidden Subset Sum Problem.

Qiongxiu Li, Lixia Luo, Agnese Gini, Changlong Ji, Zhanhao Hu, Xiao Li, Chengfang Fang, Jie Shi, Xiaolin Hu

CoRR, 2024

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

Proceedings of the IEEE International Conference on Acoustics, 2024

2023

PrivKVM*: Revisiting Key-Value Statistics Estimation With Local Differential Privacy.

Qingqing Ye, Haibo Hu, Xiaofeng Meng, Huadi Zheng, Kai Huang, Chengfang Fang, Jie Shi

IEEE Trans. Dependable Secur. Comput., 2023

Tracing the Origin of Adversarial Attack for Forensic Investigation and Deterrence.

Han Fang, Jiyi Zhang, Yupeng Qiu, Ke Xu, Chengfang Fang, Ee-Chien Chang

CoRR, 2023

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

Proceedings of the 44th IEEE Symposium on Security and Privacy, 2023

DeNoL: A Few-Shot-Sample-Based Decoupling Noise Layer for Cross-channel Watermarking Robustness.

Han Fang, Kejiang Chen, Yupeng Qiu, Jiayang Liu, Ke Xu, Chengfang Fang, Weiming Zhang, Ee-Chien Chang

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

DoubleDeceiver: Deceiving the Speaker Verification System Protected by Spoofing Countermeasures.

Mengao Zhang, Ke Xu, Hao Li, Lei Wang, Chengfang Fang, Jie Shi

Proceedings of the 24th Annual Conference of the International Speech Communication Association, 2023

Detecting Attacks Against Deep Reinforcement Learning for Autonomous Driving.

Maura Pintor, Luca Demetrio, Angelo Sotgiu, Hsiao-Ying Lin, Chengfang Fang, Ambra Demontis, Battista Biggio

Proceedings of the International Conference on Machine Learning and Cybernetics, 2023

Differential Aggregation against General Colluding Attackers.

Rong Du, Qingqing Ye, Yue Fu, Haibo Hu, Jin Li, Chengfang Fang, Jie Shi

Proceedings of the 39th IEEE International Conference on Data Engineering, 2023

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

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

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

Proceedings of the 2023 ACM Asia Conference on Computer and Communications Security, 2023

QUDA: Query-Limited Data-Free Model Extraction.

Zijun Lin, Ke Xu, Chengfang Fang, Huadi Zheng, Aneez Ahmed Jaheezuddin, Jie Shi

Proceedings of the 2023 ACM Asia Conference on Computer and Communications Security, 2023

2022

Protecting Decision Boundary of Machine Learning Model With Differentially Private Perturbation.

Huadi Zheng, Qingqing Ye, Haibo Hu, Chengfang Fang, Jie Shi

IEEE Trans. Dependable Secur. Comput., 2022

A Survey on Reinforcement Learning Security with Application to Autonomous Driving.

Ambra Demontis, Maura Pintor, Luca Demetrio, Kathrin Grosse, Hsiao-Ying Lin, Chengfang Fang, Battista Biggio, Fabio Roli

CoRR, 2022

MExMI: Pool-based Active Model Extraction Crossover Membership Inference.

Yaxin Xiao, Qingqing Ye, Haibo Hu, Huadi Zheng, Chengfang Fang, Jie Shi

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

2021

Thief, Beware of What Get You There: Towards Understanding Model Extraction Attack.

Xinyi Zhang, Chengfang Fang, Jie Shi

CoRR, 2021

A-FMI: Learning Attributions from Deep Networks via Feature Map Importance.

An Zhang, Xiang Wang, Chengfang Fang, Jie Shi, Tat-Seng Chua, Zehua Chen

CoRR, 2021

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

Proceedings of the CCS '21: 2021 ACM SIGSAC Conference on Computer and Communications Security, Virtual Event, Republic of Korea, November 15, 2021

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

Proceedings of the CCS '21: 2021 ACM SIGSAC Conference on Computer and Communications Security, Virtual Event, Republic of Korea, November 15, 2021

2020

Bident Structure for Neural Network Model Protection.

Hsiao-Ying Lin, Chengfang Fang, Jie Shi

Proceedings of the 6th International Conference on Information Systems Security and Privacy, 2020

Where Does the Robustness Come from?: A Study of the Transformation-based Ensemble Defence.

Chang Liao, Yao Cheng, Chengfang Fang, Jie Shi

Proceedings of the AISec@CCS 2020: Proceedings of the 13th ACM Workshop on Artificial Intelligence and Security, 2020

2019

BDPL: A Boundary Differentially Private Layer Against Machine Learning Model Extraction Attacks.

Huadi Zheng, Qingqing Ye, Haibo Hu, Chengfang Fang, Jie Shi

Proceedings of the Computer Security - ESORICS 2019, 2019

2014

Optimal strategy of coupon subset collection when each package contains half of the coupons.

Chengfang Fang, Ee-Chien Chang

Inf. Process. Lett., 2014

An Optimization Model for Aesthetic Two-Dimensional Barcodes.

Chengfang Fang, Chunwang Zhang, Ee-Chien Chang

Proceedings of the MultiMedia Modeling - 20th Anniversary International Conference, 2014

Differential privacy with δ-neighbourhood for spatial and dynamic datasets.

Chengfang Fang, Ee-Chien Chang

Proceedings of the 9th ACM Symposium on Information, Computer and Communications Security, 2014

2012

Adaptive Differentially Private Histogram of Low-Dimensional Data.

Chengfang Fang, Ee-Chien Chang

Proceedings of the Privacy Enhancing Technologies - 12th International Symposium, 2012

2011

Intrusion diagnosis and prediction with expert system.

Xuejiao Liu, Chengfang Fang, Debao Xiao

Secur. Commun. Networks, 2011

Publishing Location Dataset Differential Privately with Isotonic Regression

Chengfang Fang, Ee-Chien Chang

CoRR, 2011

ID Repetition in Structured P2P Networks.

Jie Yu, Zhoujun Li, Peng Xiao, Chengfang Fang, Jia Xu, Ee-Chien Chang

Comput. J., 2011

Identity leakage mitigation on asymmetric secure sketch.

Chengfang Fang, Qiming Li, Ee-Chien Chang

Proceedings of the 2011 IEEE International Joint Conference on Biometrics, 2011

2010

Securing Kiosk using Mobile Devices coupled with Visual Inspection

Chengfang Fang, Ee-Chien Chang

CoRR, 2010

A chameleon encryption scheme resistant to known-plaintext attack.

Ee-Chien Chang, Chengfang Fang, Jia Xu

Proceedings of the 10th ACM Workshop on Digital Rights Management, 2010

Securing interactive sessions using mobile device through visual channel and visual inspection.

Chengfang Fang, Ee-Chien Chang

Proceedings of the Twenty-Sixth Annual Computer Security Applications Conference, 2010

Secure Sketch for Multiple Secrets.

Chengfang Fang, Qiming Li, Ee-Chien Chang

Proceedings of the Applied Cryptography and Network Security, 8th International Conference, 2010

2009

ID Repetition in Kad.

Jie Yu, Chengfang Fang, Jia Xu, Ee-Chien Chang, Zhoujun Li

Proceedings of the Proceedings P2P 2009, 2009

A Lightweight Mechanism to Mitigate Application Layer DDoS Attacks.

Jie Yu, Chengfang Fang, Liming Lu, Zhoujun Li

Proceedings of the Scalable Information Systems, 4th International ICST Conference, 2009

2008

Information Leakage in Optimal Anonymized and Diversified Data.

Chengfang Fang, Ee-Chien Chang

IACR Cryptol. ePrint Arch., 2008