Chengfang Fang

45 papers A* 7A 6B 2C 1Misc 2Journal 20Unranked 7

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	LabelDP Leaks Privacy - A Tightened Correlation-Aware Privacy Model for Labeled Training Data. IEEE Trans. Dependable Secur. Comput. Qiao Xue, Qingqing Ye, Haibo Hu, Jian Lou, Jin Li, Chengfang Fang, Jie Shi
2026	J	`jnl`	Semantic-aware testing for object detection systems. Inf. Softw. Technol. Xiaoxia Liu, Jingyi Wang, Hsiao-Ying Lin, Chengfang Fang, Jie Shi, Xiaodong Zhang, Wenhai Wang
2025	J	`jnl`	RMR: A Relative Membership Risk Measure for Machine Learning Models. IEEE Trans. Dependable Secur. Comput. Li Bai, Haibo Hu, Qingqing Ye, Jianliang Xu, Jin Li, Chengfang Fang, Jie Shi
2024	Misc	`conf`	ADVSV: An Over-the-Air Adversarial Attack Dataset for Speaker Verification. ICASSP Li Wang, Jiaqi Li, Yuhao Luo, Jiahao Zheng, Lei Wang, Hao Li, Ke Xu, Chengfang Fang, Jie Shi, Zhizheng Wu
2024	J	`jnl`	Perfect Gradient Inversion in Federated Learning: A New Paradigm from the Hidden Subset Sum Problem. CoRR Qiongxiu Li, Lixia Luo, Agnese Gini, Changlong Ji, Zhanhao Hu, Xiao Li, Chengfang Fang, Jie Shi, Xiaolin Hu
2023	A*	`conf`	3DFed: Adaptive and Extensible Framework for Covert Backdoor Attack in Federated Learning. SP Haoyang Li, Qingqing Ye, Haibo Hu, Jin Li, Leixia Wang, Chengfang Fang, Jie Shi
2023	J	`jnl`	AdvSV: An Over-the-Air Adversarial Attack Dataset for Speaker Verification. CoRR Li Wang, Jiaqi Li, Yuhao Luo, Jiahao Zheng, Lei Wang, Hao Li, Ke Xu, Chengfang Fang, Jie Shi, Zhizheng Wu
2023	A*	`conf`	DeNoL: A Few-Shot-Sample-Based Decoupling Noise Layer for Cross-channel Watermarking Robustness. ACM Multimedia Han Fang, Kejiang Chen, Yupeng Qiu, Jiayang Liu, Ke Xu, Chengfang Fang, Weiming Zhang, Ee-Chien Chang
2023	Misc	`conf`	Detecting Attacks Against Deep Reinforcement Learning for Autonomous Driving. ICMLC Maura Pintor, Luca Demetrio, Angelo Sotgiu, Hsiao-Ying Lin, Chengfang Fang, Ambra Demontis, Battista Biggio
2023	A*	`conf`	Differential Aggregation against General Colluding Attackers. ICDE Rong Du, Qingqing Ye, Yue Fu, Haibo Hu, Jin Li, Chengfang Fang, Jie Shi
2023	J	`jnl`	Differential Aggregation against General Colluding Attackers. CoRR Rong Du, Qingqing Ye, Yue Fu, Haibo Hu, Jin Li, Chengfang Fang, Jie Shi
2023	A	`conf`	DoubleDeceiver: Deceiving the Speaker Verification System Protected by Spoofing Countermeasures. INTERSPEECH Mengao Zhang, Ke Xu, Hao Li, Lei Wang, Chengfang Fang, Jie Shi
2023	A	`conf`	Mitigating Adversarial Attacks by Distributing Different Copies to Different Buyers. AsiaCCS Jiyi Zhang, Han Fang, Wesley Joon-Wie Tann, Ke Xu, Chengfang Fang, Ee-Chien Chang
2023	J	`jnl`	PrivKVM*: Revisiting Key-Value Statistics Estimation With Local Differential Privacy. IEEE Trans. Dependable Secur. Comput. Qingqing Ye, Haibo Hu, Xiaofeng Meng, Huadi Zheng, Kai Huang, Chengfang Fang, Jie Shi
2023	A	`conf`	QUDA: Query-Limited Data-Free Model Extraction. AsiaCCS Zijun Lin, Ke Xu, Chengfang Fang, Huadi Zheng, Aneez Ahmed Jaheezuddin, Jie Shi
2023	A*	`conf`	Tracing the Origin of Adversarial Attack for Forensic Investigation and Deterrence. ICCV Han Fang, Jiyi Zhang, Yupeng Qiu, Jiayang Liu, Ke Xu, Chengfang Fang, Ee-Chien Chang
2023	J	`jnl`	Tracing the Origin of Adversarial Attack for Forensic Investigation and Deterrence. CoRR Han Fang, Jiyi Zhang, Yupeng Qiu, Ke Xu, Chengfang Fang, Ee-Chien Chang
2022	J	`jnl`	A Survey on Reinforcement Learning Security with Application to Autonomous Driving. CoRR Ambra Demontis, Maura Pintor, Luca Demetrio, Kathrin Grosse, Hsiao-Ying Lin, Chengfang Fang, Battista Biggio, Fabio Roli
2022	A*	`conf`	MExMI: Pool-based Active Model Extraction Crossover Membership Inference. NeurIPS Yaxin Xiao, Qingqing Ye, Haibo Hu, Huadi Zheng, Chengfang Fang, Jie Shi
2022	J	`jnl`	Protecting Decision Boundary of Machine Learning Model With Differentially Private Perturbation. IEEE Trans. Dependable Secur. Comput. Huadi Zheng, Qingqing Ye, Haibo Hu, Chengfang Fang, Jie Shi
2021	J	`jnl`	A-FMI: Learning Attributions from Deep Networks via Feature Map Importance. CoRR An Zhang, Xiang Wang, Chengfang Fang, Jie Shi, Tat-Seng Chua, Zehua Chen
2021	A*	`conf`	Backdoor Pre-trained Models Can Transfer to All. CCS Lujia Shen, Shouling Ji, Xuhong Zhang, Jinfeng Li, Jing Chen, Jie Shi, Chengfang Fang, Jianwei Yin, Ting Wang
2021	J	`jnl`	Backdoor Pre-trained Models Can Transfer to All. CoRR Lujia Shen, Shouling Ji, Xuhong Zhang, Jinfeng Li, Jing Chen, Jie Shi, Chengfang Fang, Jianwei Yin, Ting Wang
2021	A*	`conf`	Cert-RNN: Towards Certifying the Robustness of Recurrent Neural Networks. CCS Tianyu Du, Shouling Ji, Lujia Shen, Yao Zhang, Jinfeng Li, Jie Shi, Chengfang Fang, Jianwei Yin, Raheem Beyah, Ting Wang
2021	J	`jnl`	Thief, Beware of What Get You There: Towards Understanding Model Extraction Attack. CoRR Xinyi Zhang, Chengfang Fang, Jie Shi
2020	C	`conf`	Bident Structure for Neural Network Model Protection. ICISSP Hsiao-Ying Lin, Chengfang Fang, Jie Shi
2020	J	`jnl`	Where Does the Robustness Come from? A Study of the Transformation-based Ensemble Defence. CoRR Chang Liao, Yao Cheng, Chengfang Fang, Jie Shi
2020	—	`conf`	Where Does the Robustness Come from?: A Study of the Transformation-based Ensemble Defence. AISec@CCS Chang Liao, Yao Cheng, Chengfang Fang, Jie Shi
2019	—	`conf`	BDPL: A Boundary Differentially Private Layer Against Machine Learning Model Extraction Attacks. ESORICS (1) Huadi Zheng, Qingqing Ye, Haibo Hu, Chengfang Fang, Jie Shi
2014	—	`conf`	An Optimization Model for Aesthetic Two-Dimensional Barcodes. MMM (1) Chengfang Fang, Chunwang Zhang, Ee-Chien Chang
2014	A	`conf`	Differential privacy with δ-neighbourhood for spatial and dynamic datasets. AsiaCCS Chengfang Fang, Ee-Chien Chang
2014	J	`jnl`	Optimal strategy of coupon subset collection when each package contains half of the coupons. Inf. Process. Lett. Chengfang Fang, Ee-Chien Chang
2012	A	`conf`	Adaptive Differentially Private Histogram of Low-Dimensional Data. Privacy Enhancing Technologies Chengfang Fang, Ee-Chien Chang
2011	J	`jnl`	ID Repetition in Structured P2P Networks. Comput. J. Jie Yu, Zhoujun Li, Peng Xiao, Chengfang Fang, Jia Xu, Ee-Chien Chang
2011	B	`conf`	Identity leakage mitigation on asymmetric secure sketch. IJCB Chengfang Fang, Qiming Li, Ee-Chien Chang
2011	J	`jnl`	Intrusion diagnosis and prediction with expert system. Secur. Commun. Networks Xuejiao Liu, Chengfang Fang, Debao Xiao
2011	J	`jnl`	Publishing Location Dataset Differential Privately with Isotonic Regression CoRR Chengfang Fang, Ee-Chien Chang
2010	—	`conf`	A chameleon encryption scheme resistant to known-plaintext attack. Digital Rights Management Workshop Ee-Chien Chang, Chengfang Fang, Jia Xu
2010	B	`conf`	Secure Sketch for Multiple Secrets. ACNS Chengfang Fang, Qiming Li, Ee-Chien Chang
2010	J	`jnl`	Securing Kiosk using Mobile Devices coupled with Visual Inspection CoRR Chengfang Fang, Ee-Chien Chang
2010	A	`conf`	Securing interactive sessions using mobile device through visual channel and visual inspection. ACSAC Chengfang Fang, Ee-Chien Chang
2009	—	`conf`	A Lightweight Mechanism to Mitigate Application Layer DDoS Attacks. Infoscale Jie Yu, Chengfang Fang, Liming Lu, Zhoujun Li
2009	—	`conf`	ID Repetition in Kad. Peer-to-Peer Computing Jie Yu, Chengfang Fang, Jia Xu, Ee-Chien Chang, Zhoujun Li
2008	—	`conf`	Information Leakage in Optimal Anonymized and Diversified Data. Information Hiding Chengfang Fang, Ee-Chien Chang
2008	J	`jnl`	Information Leakage in Optimal Anonymized and Diversified Data. IACR Cryptol. ePrint Arch. Chengfang Fang, Ee-Chien Chang