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2020 – today
- 2024
[c25]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: 4555-4559- [i12]Qiongxiu Li, Lixia Luo, Agnese Gini, Changlong Ji
, Zhanhao Hu, Xiao Li, Chengfang Fang, Jie Shi, Xiaolin Hu:
Perfect Gradient Inversion in Federated Learning: A New Paradigm from the Hidden Subset Sum Problem. CoRR abs/2409.14260 (2024) - 2023
- [j5]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): 17-35 (2023) - [c24]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: 704-715 - [c23]Zijun Lin, Ke Xu, Chengfang Fang, Huadi Zheng, Aneez Ahmed Jaheezuddin, Jie Shi:
QUDA: Query-Limited Data-Free Model Extraction. AsiaCCS 2023: 913-924 - [c22]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: 4312-4321 - [c21]Rong Du, Qingqing Ye, Yue Fu, Haibo Hu, Jin Li, Chengfang Fang, Jie Shi:
Differential Aggregation against General Colluding Attackers. ICDE 2023: 2180-2193 - [c20]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: 57-62 - [c19]Mengao Zhang, Ke Xu, Hao Li, Lei Wang, Chengfang Fang, Jie Shi:
DoubleDeceiver: Deceiving the Speaker Verification System Protected by Spoofing Countermeasures. INTERSPEECH 2023: 4014-4018 - [c18]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: 7345-7353 - [c17]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: 1893-1907 - [i11]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 abs/2301.01218 (2023) - [i10]Rong Du, Qingqing Ye, Yue Fu, Haibo Hu, Jin Li, Chengfang Fang, Jie Shi:
Differential Aggregation against General Colluding Attackers. CoRR abs/2302.09315 (2023) - [i9]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 abs/2310.05369 (2023) - 2022
- [j4]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): 2007-2022 (2022) - [c16]Yaxin Xiao, Qingqing Ye, Haibo Hu, Huadi Zheng, Chengfang Fang, Jie Shi:
MExMI: Pool-based Active Model Extraction Crossover Membership Inference. NeurIPS 2022 - [i8]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 abs/2212.06123 (2022) - 2021
- [c15]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: 516-534 - [c14]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: 3141-3158 - [i7]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 abs/2104.05527 (2021) - [i6]Xinyi Zhang, Chengfang Fang, Jie Shi:
Thief, Beware of What Get You There: Towards Understanding Model Extraction Attack. CoRR abs/2104.05921 (2021) - [i5]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 abs/2111.00197 (2021) - 2020
- [c13]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: 1-12 - [c12]Hsiao-Ying Lin, Chengfang Fang, Jie Shi:
Bident Structure for Neural Network Model Protection. ICISSP 2020: 377-384 - [i4]Chang Liao, Yao Cheng, Chengfang Fang, Jie Shi:
Where Does the Robustness Come from? A Study of the Transformation-based Ensemble Defence. CoRR abs/2009.13033 (2020)
2010 – 2019
- 2019
- [c11]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: 66-83 - 2014
- [j3]Chengfang Fang, Ee-Chien Chang:
Optimal strategy of coupon subset collection when each package contains half of the coupons. Inf. Process. Lett. 114(12): 703-705 (2014) - [c10]Chengfang Fang, Ee-Chien Chang:
Differential privacy with δ-neighbourhood for spatial and dynamic datasets. AsiaCCS 2014: 159-170 - [c9]Chengfang Fang, Chunwang Zhang, Ee-Chien Chang:
An Optimization Model for Aesthetic Two-Dimensional Barcodes. MMM (1) 2014: 278-290 - 2012
- [c8]Chengfang Fang, Ee-Chien Chang:
Adaptive Differentially Private Histogram of Low-Dimensional Data. Privacy Enhancing Technologies 2012: 160-179 - 2011
- [j2]Jie Yu, Zhoujun Li, Peng Xiao, Chengfang Fang, Jia Xu, Ee-Chien Chang:
ID Repetition in Structured P2P Networks. Comput. J. 54(6): 962-975 (2011) - [j1]Xuejiao Liu, Chengfang Fang, Debao Xiao:
Intrusion diagnosis and prediction with expert system. Secur. Commun. Networks 4(12): 1483-1494 (2011) - [c7]Chengfang Fang, Qiming Li, Ee-Chien Chang:
Identity leakage mitigation on asymmetric secure sketch. IJCB 2011: 1-6 - [i3]Chengfang Fang, Ee-Chien Chang:
Publishing Location Dataset Differential Privately with Isotonic Regression. CoRR abs/1111.6677 (2011) - 2010
- [c6]Chengfang Fang, Qiming Li, Ee-Chien Chang:
Secure Sketch for Multiple Secrets. ACNS 2010: 367-383 - [c5]Chengfang Fang, Ee-Chien Chang:
Securing interactive sessions using mobile device through visual channel and visual inspection. ACSAC 2010: 69-78 - [c4]Ee-Chien Chang, Chengfang Fang, Jia Xu:
A chameleon encryption scheme resistant to known-plaintext attack. Digital Rights Management Workshop 2010: 25-34 - [i2]Chengfang Fang, Ee-Chien Chang:
Securing Kiosk using Mobile Devices coupled with Visual Inspection. CoRR abs/1003.0723 (2010)
2000 – 2009
- 2009
- [c3]Jie Yu, Chengfang Fang, Liming Lu, Zhoujun Li:
A Lightweight Mechanism to Mitigate Application Layer DDoS Attacks. Infoscale 2009: 175-191 - [c2]Jie Yu, Chengfang Fang, Jia Xu, Ee-Chien Chang, Zhoujun Li:
ID Repetition in Kad. Peer-to-Peer Computing 2009: 111-120 - 2008
- [c1]Chengfang Fang, Ee-Chien Chang:
Information Leakage in Optimal Anonymized and Diversified Data. Information Hiding 2008: 30-44 - [i1]Chengfang Fang, Ee-Chien Chang:
Information Leakage in Optimal Anonymized and Diversified Data. IACR Cryptol. ePrint Arch. 2008: 347 (2008)
Coauthor Index
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