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2020 – today
- 2024
[j14]Jianrong Lu
, Shengshan Hu, Wei Wan, Minghui Li, Leo Yu Zhang, Lulu Xue, Hai Jin:
Depriving the Survival Space of Adversaries Against Poisoned Gradients in Federated Learning. IEEE Trans. Inf. Forensics Secur. 19: 5405-5418 (2024)- [j13]Man Zhou, Yuting Zhou, Shuao Su, Qian Wang, Qi Li, Shengshan Hu, Chunwu Yu, Zhengxiong Li:
FingerPattern: Securing Pattern Lock via Fingerprint-Dependent Friction Sound. IEEE Trans. Mob. Comput. 23(6): 7210-7224 (2024) - [c40]Lulu Xue, Shengshan Hu, Ruizhi Zhao, Leo Yu Zhang, Shengqing Hu, Lichao Sun, Dezhong Yao:
Revisiting Gradient Pruning: A Dual Realization for Defending against Gradient Attacks. AAAI 2024: 6404-6412 - [c39]Di Mi, Yanjun Zhang, Leo Yu Zhang, Shengshan Hu, Qi Zhong, Haizhuan Yuan, Shirui Pan:
Towards Model Extraction Attacks in GAN-Based Image Translation via Domain Shift Mitigation. AAAI 2024: 19902-19910 - [c38]Xianlong Wang, Minghui Li, Peng Xu, Wei Liu, Leo Yu Zhang, Shengshan Hu, Yanjun Zhang:
PointAPA: Towards Availability Poisoning Attacks in 3D Point Clouds. ESORICS (1) 2024: 125-145 - [c37]Xianlong Wang, Shengshan Hu, Yechao Zhang, Ziqi Zhou, Leo Yu Zhang, Peng Xu, Wei Wan, Hai Jin:
ECLIPSE: Expunging Clean-Label Indiscriminate Poisons via Sparse Diffusion Purification. ESORICS (1) 2024: 146-166 - [c36]Longling Zhang, Lyqi Liu, Dan Meng, Jun Wang, Shengshan Hu:
Stealthy Backdoor Attack Towards Federated Automatic Speaker Verification. ICASSP 2024: 1311-1315 - [c35]Wei Wan, Yuxuan Ning, Shengshan Hu, Lulu Xue, Minghui Li, Leo Yu Zhang, Hai Jin:
MISA: Unveiling the Vulnerabilities in Split Federated Learning. ICASSP 2024: 6435-6439 - [c34]Hangtao Zhang, Shengshan Hu, Yichen Wang, Leo Yu Zhang, Ziqi Zhou, Xianlong Wang, Yanjun Zhang, Chao Chen:
Detector Collapse: Backdooring Object Detection to Catastrophic Overload or Blindness in the Physical World. IJCAI 2024: 1670-1678 - [c33]Minghui Li, Wei Wan, Yuxuan Ning, Shengshan Hu, Lulu Xue, Leo Yu Zhang, Yichen Wang:
DarkFed: A Data-Free Backdoor Attack in Federated Learning. IJCAI 2024: 4443-4451 - [c32]Minghui Li, Jiangxiong Wang, Hao Zhang, Ziqi Zhou, Shengshan Hu, Xiaobing Pei:
Transferable Adversarial Facial Images for Privacy Protection. ACM Multimedia 2024: 10649-10658 - [c31]Xiaoxing Mo, Yechao Zhang, Leo Yu Zhang, Wei Luo, Nan Sun, Shengshan Hu, Shang Gao, Yang Xiang:
Robust Backdoor Detection for Deep Learning via Topological Evolution Dynamics. SP 2024: 2048-2066 - [c30]Ziqi Zhou, Minghui Li, Wei Liu, Shengshan Hu, Yechao Zhang, Wei Wan, Lulu Xue, Leo Yu Zhang, Dezhong Yao, Hai Jin:
Securely Fine-tuning Pre-trained Encoders Against Adversarial Examples. SP 2024: 3015-3033 - [c29]Yechao Zhang, Shengshan Hu, Leo Yu Zhang, Junyu Shi, Minghui Li, Xiaogeng Liu, Wei Wan, Hai Jin:
Why Does Little Robustness Help? A Further Step Towards Understanding Adversarial Transferability. SP 2024: 3365-3384 - [i38]Lulu Xue, Shengshan Hu, Ruizhi Zhao, Leo Yu Zhang, Shengqing Hu, Lichao Sun, Dezhong Yao:
Revisiting Gradient Pruning: A Dual Realization for Defending against Gradient Attacks. CoRR abs/2401.16687 (2024) - [i37]Di Mi, Yanjun Zhang, Leo Yu Zhang, Shengshan Hu, Qi Zhong, Haizhuan Yuan, Shirui Pan:
Towards Model Extraction Attacks in GAN-Based Image Translation via Domain Shift Mitigation. CoRR abs/2403.07673 (2024) - [i36]Ziqi Zhou, Minghui Li, Wei Liu, Shengshan Hu, Yechao Zhang, Wei Wan, Lulu Xue, Leo Yu Zhang, Dezhong Yao, Hai Jin:
Securely Fine-tuning Pre-trained Encoders Against Adversarial Examples. CoRR abs/2403.10801 (2024) - [i35]Hangtao Zhang, Shengshan Hu, Yichen Wang, Leo Yu Zhang, Ziqi Zhou, Xianlong Wang, Yanjun Zhang, Chao Chen:
Detector Collapse: Backdooring Object Detection to Catastrophic Overload or Blindness. CoRR abs/2404.11357 (2024) - [i34]Minghui Li, Wei Wan, Yuxuan Ning, Shengshan Hu, Lulu Xue, Leo Yu Zhang, Yichen Wang:
DarkFed: A Data-Free Backdoor Attack in Federated Learning. CoRR abs/2405.03299 (2024) - [i33]Dezhong Yao, Sanmu Li, Yutong Dai, Zhiqiang Xu, Shengshan Hu, Peilin Zhao, Lichao Sun:
Variational Bayes for Federated Continual Learning. CoRR abs/2405.14291 (2024) - [i32]Zhaoxi Zhang, Xiaomei Zhang, Yanjun Zhang, Leo Yu Zhang, Chao Chen, Shengshan Hu, Asif Gill, Shirui Pan:
Large Language Model Watermark Stealing With Mixed Integer Programming. CoRR abs/2405.19677 (2024) - [i31]Xianlong Wang, Shengshan Hu, Yechao Zhang, Ziqi Zhou, Leo Yu Zhang, Peng Xu, Wei Wan, Hai Jin:
ECLIPSE: Expunging Clean-label Indiscriminate Poisons via Sparse Diffusion Purification. CoRR abs/2406.15093 (2024) - [i30]Hangtao Zhang, Chenyu Zhu, Xianlong Wang, Ziqi Zhou, Shengshan Hu, Leo Yu Zhang:
BadRobot: Jailbreaking LLM-based Embodied AI in the Physical World. CoRR abs/2407.20242 (2024) - [i29]Minghui Li, Jiangxiong Wang, Hao Zhang, Ziqi Zhou, Shengshan Hu, Xiaobing Pei:
Transferable Adversarial Facial Images for Privacy Protection. CoRR abs/2408.01428 (2024) - [i28]Xianlong Wang, Minghui Li, Wei Liu, Hangtao Zhang, Shengshan Hu, Yechao Zhang, Ziqi Zhou, Hai Jin:
Unlearnable 3D Point Clouds: Class-wise Transformation Is All You Need. CoRR abs/2410.03644 (2024) - 2023
- [c28]Shengshan Hu, Junwei Zhang, Wei Liu, Junhui Hou, Minghui Li, Leo Yu Zhang, Hai Jin, Lichao Sun:
PointCA: Evaluating the Robustness of 3D Point Cloud Completion Models against Adversarial Examples. AAAI 2023: 872-880 - [c27]Xiaomei Zhang, Zhaoxi Zhang, Qi Zhong, Xufei Zheng, Yanjun Zhang, Shengshan Hu, Leo Yu Zhang:
Masked Language Model Based Textual Adversarial Example Detection. AsiaCCS 2023: 925-937 - [c26]Xiaogeng Liu, Minghui Li, Haoyu Wang, Shengshan Hu, Dengpan Ye, Hai Jin, Libing Wu, Chaowei Xiao:
Detecting Backdoors During the Inference Stage Based on Corruption Robustness Consistency. CVPR 2023: 16363-16372 - [c25]Qiufan Ji, Lin Wang, Cong Shi, Shengshan Hu, Yingying Chen, Lichao Sun:
Benchmarking and Analyzing Robust Point Cloud Recognition: Bag of Tricks for Defending Adversarial Examples. ICCV 2023: 4272-4281 - [c24]Ziqi Zhou, Shengshan Hu, Ruizhi Zhao, Qian Wang, Leo Yu Zhang, Junhui Hou, Hai Jin:
Downstream-agnostic Adversarial Examples. ICCV 2023: 4322-4332 - [c23]Hangtao Zhang, Zeming Yao, Leo Yu Zhang, Shengshan Hu, Chao Chen, Alan Wee-Chung Liew, Zhetao Li:
Denial-of-Service or Fine-Grained Control: Towards Flexible Model Poisoning Attacks on Federated Learning. IJCAI 2023: 4567-4575 - [c22]Jingyang Li, Dengpan Ye, Long Tang, Chuanxi Chen, Shengshan Hu:
Voice Guard: Protecting Voice Privacy with Strong and Imperceptible Adversarial Perturbation in the Time Domain. IJCAI 2023: 4812-4820 - [c21]Shengshan Hu, Wei Liu, Minghui Li, Yechao Zhang, Xiaogeng Liu, Xianlong Wang, Leo Yu Zhang, Junhui Hou:
PointCRT: Detecting Backdoor in 3D Point Cloud via Corruption Robustness. ACM Multimedia 2023: 666-675 - [c20]Ziqi Zhou, Shengshan Hu, Minghui Li, Hangtao Zhang, Yechao Zhang, Hai Jin:
AdvCLIP: Downstream-agnostic Adversarial Examples in Multimodal Contrastive Learning. ACM Multimedia 2023: 6311-6320 - [c19]Wei Wan, Shengshan Hu, Minghui Li, Jianrong Lu, Longling Zhang, Leo Yu Zhang, Hai Jin:
A Four-Pronged Defense Against Byzantine Attacks in Federated Learning. ACM Multimedia 2023: 7394-7402 - [i27]Long Tang, Dengpan Ye, Zhenhao Lu, Yunming Zhang, Shengshan Hu, Yue Xu, Chuanxi Chen:
Feature Extraction Matters More: Universal Deepfake Disruption through Attacking Ensemble Feature Extractors. CoRR abs/2303.00200 (2023) - [i26]Xiaogeng Liu, Minghui Li, Haoyu Wang, Shengshan Hu, Dengpan Ye, Hai Jin, Libing Wu, Chaowei Xiao:
Detecting Backdoors During the Inference Stage Based on Corruption Robustness Consistency. CoRR abs/2303.18191 (2023) - [i25]Xiaomei Zhang, Zhaoxi Zhang, Qi Zhong, Xufei Zheng, Yanjun Zhang, Shengshan Hu, Leo Yu Zhang:
Masked Language Model Based Textual Adversarial Example Detection. CoRR abs/2304.08767 (2023) - [i24]Hangtao Zhang, Zeming Yao, Leo Yu Zhang, Shengshan Hu, Chao Chen, Alan Wee-Chung Liew, Zhetao Li:
Denial-of-Service or Fine-Grained Control: Towards Flexible Model Poisoning Attacks on Federated Learning. CoRR abs/2304.10783 (2023) - [i23]Yechao Zhang, Shengshan Hu, Leo Yu Zhang, Junyu Shi, Minghui Li, Xiaogeng Liu, Wei Wan, Hai Jin:
Why Does Little Robustness Help? Understanding Adversarial Transferability From Surrogate Training. CoRR abs/2307.07873 (2023) - [i22]Ziqi Zhou, Shengshan Hu, Ruizhi Zhao, Qian Wang, Leo Yu Zhang, Junhui Hou, Hai Jin:
Downstream-agnostic Adversarial Examples. CoRR abs/2307.12280 (2023) - [i21]Qiufan Ji, Lin Wang, Cong Shi, Shengshan Hu, Yingying Chen, Lichao Sun:
Benchmarking and Analyzing Robust Point Cloud Recognition: Bag of Tricks for Defending Adversarial Examples. CoRR abs/2307.16361 (2023) - [i20]Wei Wan, Shengshan Hu, Minghui Li, Jianrong Lu, Longling Zhang, Leo Yu Zhang, Hai Jin:
A Four-Pronged Defense Against Byzantine Attacks in Federated Learning. CoRR abs/2308.03331 (2023) - [i19]Ziqi Zhou, Shengshan Hu, Minghui Li, Hangtao Zhang, Yechao Zhang, Hai Jin:
AdvCLIP: Downstream-agnostic Adversarial Examples in Multimodal Contrastive Learning. CoRR abs/2308.07026 (2023) - [i18]Xianlong Wang, Shengshan Hu, Minghui Li, Zhifei Yu, Ziqi Zhou, Leo Yu Zhang, Hai Jin:
Corrupting Convolution-based Unlearnable Datasets with Pixel-based Image Transformations. CoRR abs/2311.18403 (2023) - [i17]Xiaoxing Mo, Yechao Zhang, Leo Yu Zhang, Wei Luo, Nan Sun, Shengshan Hu, Shang Gao, Yang Xiang:
Robust Backdoor Detection for Deep Learning via Topological Evolution Dynamics. CoRR abs/2312.02673 (2023) - [i16]Wei Wan, Yuxuan Ning, Shengshan Hu, Lulu Xue, Minghui Li, Leo Yu Zhang, Hai Jin:
MISA: Unveiling the Vulnerabilities in Split Federated Learning. CoRR abs/2312.11026 (2023) - 2022
- [j12]Zhaoxi Zhang, Leo Yu Zhang, Xufei Zheng, Bilal Hussain Abbasi, Shengshan Hu:
Evaluating Membership Inference Through Adversarial Robustness. Comput. J. 65(11): 2969-2978 (2022) - [j11]Minghui Li, Sherman S. M. Chow, Shengshan Hu, Yuejing Yan, Chao Shen, Qian Wang:
Optimizing Privacy-Preserving Outsourced Convolutional Neural Network Predictions. IEEE Trans. Dependable Secur. Comput. 19(3): 1592-1604 (2022) - [c18]Shengshan Hu, Xiaogeng Liu, Yechao Zhang, Minghui Li, Leo Yu Zhang, Hai Jin, Libing Wu:
Protecting Facial Privacy: Generating Adversarial Identity Masks via Style-robust Makeup Transfer. CVPR 2022: 14994-15003 - [c17]Qi Zhong, Leo Yu Zhang, Shengshan Hu, Longxiang Gao, Jun Zhang, Yong Xiang:
Attention Distraction: Watermark Removal Through Continual Learning with Selective Forgetting. ICME 2022: 1-6 - [c16]Wei Wan, Shengshan Hu, Jianrong Lu, Leo Yu Zhang, Hai Jin, Yuanyuan He:
Shielding Federated Learning: Robust Aggregation with Adaptive Client Selection. IJCAI 2022: 753-760 - [c15]Fuyi Wang, Leo Yu Zhang, Lei Pan, Shengshan Hu, Robin Doss:
Towards Privacy-Preserving Neural Architecture Search. ISCC 2022: 1-6 - [c14]Shengshan Hu, Ziqi Zhou, Yechao Zhang, Leo Yu Zhang, Yifeng Zheng, Yuanyuan He, Hai Jin:
BadHash: Invisible Backdoor Attacks against Deep Hashing with Clean Label. ACM Multimedia 2022: 678-686 - [c13]Minghui Li, Wei Wan, Jianrong Lu, Shengshan Hu, Junyu Shi, Leo Yu Zhang, Man Zhou, Yifeng Zheng:
Shielding Federated Learning: Mitigating Byzantine Attacks with Less Constraints. MSN 2022: 178-185 - [c12]Junyu Shi, Wei Wan, Shengshan Hu, Jianrong Lu, Leo Yu Zhang:
Challenges and Approaches for Mitigating Byzantine Attacks in Federated Learning. TrustCom 2022: 139-146 - [i15]Shengshan Hu, Xiaogeng Liu, Yechao Zhang, Minghui Li, Leo Yu Zhang, Hai Jin, Libing Wu:
Protecting Facial Privacy: Generating Adversarial Identity Masks via Style-robust Makeup Transfer. CoRR abs/2203.03121 (2022) - [i14]Xiaogeng Liu, Haoyu Wang, Yechao Zhang, Fangzhou Wu, Shengshan Hu:
Towards Efficient Data-Centric Robust Machine Learning with Noise-based Augmentation. CoRR abs/2203.03810 (2022) - [i13]Qi Zhong, Leo Yu Zhang, Shengshan Hu, Longxiang Gao, Jun Zhang, Yong Xiang:
Attention Distraction: Watermark Removal Through Continual Learning with Selective Forgetting. CoRR abs/2204.01934 (2022) - [i12]Fuyi Wang, Leo Yu Zhang, Lei Pan, Shengshan Hu, Robin Doss:
Towards Privacy-Preserving Neural Architecture Search. CoRR abs/2204.10958 (2022) - [i11]Wei Wan, Shengshan Hu, Jianrong Lu, Leo Yu Zhang, Hai Jin, Yuanyuan He:
Shielding Federated Learning: Robust Aggregation with Adaptive Client Selection. CoRR abs/2204.13256 (2022) - [i10]Zhaoxi Zhang, Leo Yu Zhang, Xufei Zheng, Bilal Hussain Abbasi, Shengshan Hu:
Evaluating Membership Inference Through Adversarial Robustness. CoRR abs/2205.06986 (2022) - [i9]Shengshan Hu, Ziqi Zhou, Yechao Zhang, Leo Yu Zhang, Yifeng Zheng, Yuanyuan He, Hai Jin:
BadHash: Invisible Backdoor Attacks against Deep Hashing with Clean Label. CoRR abs/2207.00278 (2022) - [i8]Minghui Li, Wei Wan, Jianrong Lu, Shengshan Hu, Junyu Shi, Leo Yu Zhang, Man Zhou, Yifeng Zheng:
Shielding Federated Learning: Mitigating Byzantine Attacks with Less Constraints. CoRR abs/2210.01437 (2022) - [i7]Shengshan Hu, Junwei Zhang, Wei Liu, Junhui Hou, Minghui Li, Leo Yu Zhang, Hai Jin, Lichao Sun:
PointCA: Evaluating the Robustness of 3D Point Cloud Completion Models Against Adversarial Examples. CoRR abs/2211.12294 (2022) - 2021
- [j10]Shengshan Hu, Leo Yu Zhang, Qian Wang, Zhan Qin, Cong Wang:
Towards Private and Scalable Cross-Media Retrieval. IEEE Trans. Dependable Secur. Comput. 18(3): 1354-1368 (2021) - [j9]Lingchen Zhao, Shengshan Hu, Qian Wang, Jianlin Jiang, Chao Shen, Xiangyang Luo, Pengfei Hu:
Shielding Collaborative Learning: Mitigating Poisoning Attacks Through Client-Side Detection. IEEE Trans. Dependable Secur. Comput. 18(5): 2029-2041 (2021) - [j8]Shengshan Hu, Chengjun Cai, Qian Wang, Cong Wang, Zhibo Wang, Dengpan Ye:
Augmenting Encrypted Search: A Decentralized Service Realization with Enforced Execution. IEEE Trans. Dependable Secur. Comput. 18(6): 2569-2581 (2021) - [j7]Dian Chen, Haobo Yuan, Shengshan Hu, Qian Wang, Cong Wang:
BOSSA: A Decentralized System for Proofs of Data Retrievability and Replication. IEEE Trans. Parallel Distributed Syst. 32(4): 786-798 (2021) - [c11]Chaoxiang He, Bin Benjamin Zhu, Xiaojing Ma, Hai Jin, Shengshan Hu:
Feature-Indistinguishable Attack to Circumvent Trapdoor-Enabled Defense. CCS 2021: 3159-3176 - [c10]Shengshan Hu, Yechao Zhang, Xiaogeng Liu, Leo Yu Zhang, Minghui Li, Hai Jin:
AdvHash: Set-to-set Targeted Attack on Deep Hashing with One Single Adversarial Patch. ACM Multimedia 2021: 2335-2343 - [c9]Wei Wan, Jianrong Lu, Shengshan Hu, Leo Yu Zhang, Xiaobing Pei:
Shielding Federated Learning: A New Attack Approach and Its Defense. WCNC 2021: 1-7 - [i6]Zhaoxi Zhang, Leo Yu Zhang, Xufei Zheng, Shengshan Hu, Jinyu Tian, Jiantao Zhou:
Self-Supervised Adversarial Example Detection by Disentangled Representation. CoRR abs/2105.03689 (2021) - [i5]Shengshan Hu, Jianrong Lu, Wei Wan, Leo Yu Zhang:
Challenges and approaches for mitigating byzantine attacks in federated learning. CoRR abs/2112.14468 (2021) - 2020
- [i4]Minghui Li, Sherman S. M. Chow, Shengshan Hu, Yuejing Yan, Minxin Du, Zhibo Wang:
Optimizing Privacy-Preserving Outsourced Convolutional Neural Network Predictions. CoRR abs/2002.10944 (2020)
2010 – 2019
- 2019
- [j6]Shengshan Hu, Xingcan Shang, Zhan Qin, Minghui Li, Qian Wang, Cong Wang:
Adversarial Examples for Automatic Speech Recognition: Attacks and Countermeasures. IEEE Commun. Mag. 57(10): 120-126 (2019) - [j5]Man Zhou, Zhan Qin, Xiu Lin, Shengshan Hu, Qian Wang, Kui Ren:
Hidden Voice Commands: Attacks and Defenses on the VCS of Autonomous Driving Cars. IEEE Wirel. Commun. 26(5): 128-133 (2019) - [i3]Lingchen Zhao, Qian Wang, Cong Wang, Qi Li, Chao Shen, Xiaodong Lin, Shengshan Hu, Minxin Du:
VeriML: Enabling Integrity Assurances and Fair Payments for Machine Learning as a Service. CoRR abs/1909.06961 (2019) - [i2]Shengshan Hu, Chengjun Cai, Qian Wang, Cong Wang, Minghui Li, Zhibo Wang, Dengpan Ye:
Augmenting Encrypted Search: A Decentralized Service Realization with Enforced Execution. CoRR abs/1909.09472 (2019) - [i1]Lingchen Zhao, Shengshan Hu, Qian Wang, Jianlin Jiang, Chao Shen, Xiangyang Luo:
Shielding Collaborative Learning: Mitigating Poisoning Attacks through Client-Side Detection. CoRR abs/1910.13111 (2019) - 2018
- [j4]Shengshan Hu, Minghui Li, Qian Wang, Sherman S. M. Chow, Minxin Du:
Outsourced Biometric Identification With Privacy. IEEE Trans. Inf. Forensics Secur. 13(10): 2448-2463 (2018) - [c8]Shengshan Hu, Chengjun Cai, Qian Wang, Cong Wang, Xiangyang Luo, Kui Ren:
Searching an Encrypted Cloud Meets Blockchain: A Decentralized, Reliable and Fair Realization. INFOCOM 2018: 792-800 - [c7]Lingchen Zhao, Lihao Ni, Shengshan Hu, Yanjiao Chen, Pan Zhou, Fu Xiao, Libing Wu:
InPrivate Digging: Enabling Tree-based Distributed Data Mining with Differential Privacy. INFOCOM 2018: 2087-2095 - 2017
- [j3]Jingjun Wang, Shengshan Hu, Qian Wang, Yutao Ma:
Privacy-Preserving Outsourced Feature Extractions in the Cloud: A Survey. IEEE Netw. 31(5): 36-41 (2017) - [c6]Qian Wang, Shengshan Hu, Minxin Du, Jingjun Wang, Kui Ren:
Learning privately: Privacy-preserving canonical correlation analysis for cross-media retrieval. INFOCOM 2017: 1-9 - 2016
- [j2]Shengshan Hu, Qian Wang, Jingjun Wang, Zhan Qin, Kui Ren:
Securing SIFT: Privacy-Preserving Outsourcing Computation of Feature Extractions Over Encrypted Image Data. IEEE Trans. Image Process. 25(7): 3411-3425 (2016) - [j1]Qian Wang, Kui Ren, Peng Ning, Shengshan Hu:
Jamming-Resistant Multiradio Multichannel Opportunistic Spectrum Access in Cognitive Radio Networks. IEEE Trans. Veh. Technol. 65(10): 8331-8344 (2016) - [c5]Qian Wang, Jingjun Wang, Shengshan Hu, Qin Zou, Kui Ren:
SecHOG: Privacy-Preserving Outsourcing Computation of Histogram of Oriented Gradients in the Cloud. AsiaCCS 2016: 257-268 - [c4]Qian Wang, Shengshan Hu, Jingjun Wang, Kui Ren:
Secure Surfing: Privacy-Preserving Speeded-Up Robust Feature Extractor. ICDCS 2016: 700-710 - [c3]Qian Wang, Shengshan Hu, Kui Ren, Jingjun Wang, Zhibo Wang, Minxin Du:
Catch me in the dark: Effective privacy-preserving outsourcing of feature extractions over image data. INFOCOM 2016: 1-9 - [c2]Shengshan Hu, Qian Wang, Jingjun Wang, Sherman S. M. Chow, Qin Zou:
Securing Fast Learning! Ridge Regression over Encrypted Big Data. Trustcom/BigDataSE/ISPA 2016: 19-26 - 2015
- [c1]Qian Wang, Shengshan Hu, Kui Ren, Meiqi He, Minxin Du, Zhibo Wang:
CloudBI: Practical Privacy-Preserving Outsourcing of Biometric Identification in the Cloud. ESORICS (2) 2015: 186-205
Coauthor Index
[j14] [c40] [c39] [c38] [c37] [c35] [c34] [c33] [c31] [c30] [c29] [i38] [i37] [i36] [i35] [i34] [i32] [i31] [i30] [c28] [c27] [c24] [c23] [c21] [c19] [i25] [i24] [i23] [i22] [i20] [i18] [i17] [i16] [j12] [c18] [c17] [c16] [c15] [c14] [c13] [c12] [i15] [i13] [i12] [i11] [i10] [i9] [i8] [i7] [j10] [c10] [c9] [i6] [i5]
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