Securing SIFT: Privacy-Preserving Outsourcing Computation of Feature Extractions Over Encrypted Image Data von Hu, Shengshan, Wang, Qian, Wang, Jingjun, Qin, Zhan, Ren, Kui

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Securing SIFT: Privacy-Preserving Outsourcing Computation of Feature Extractions Over Encrypted Image Data von Shengshan Hu, Qian Wang, Jingjun Wang, Zhan Qin, Kui Ren

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Hidden Voice Commands: Attacks and Defenses on the VCS of Autonomous Driving Cars von Zhou, Man, Qin, Zhan, Lin, Xiu, Hu, Shengshan, Wang, Qian, Ren, Kui

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Privacy-Preserving Outsourced Feature Extractions in the Cloud: A Survey von Wang, Jingjun, Hu, Shengshan, Wang, Qian, Ma, Yutao

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BOSSA: A Decentralized System for Proofs of Data Retrievability and Replication von Chen, Dian, Yuan, Haobo, Hu, Shengshan, Wang, Qian, Wang, Cong

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Shielding Collaborative Learning: Mitigating Poisoning Attacks Through Client-Side Detection von Zhao, Lingchen, Hu, Shengshan, Wang, Qian, Jiang, Jianlin, Shen, Chao, Luo, Xiangyang, Hu, Pengfei

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Augmenting Encrypted Search: A Decentralized Service Realization with Enforced Execution von Hu, Shengshan, Cai, Chengjun, Wang, Qian, Wang, Cong, Wang, Zhibo, Ye, Dengpan

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Outsourced Biometric Identification With Privacy von Hu, Shengshan, Li, Minghui, Wang, Qian, Chow, Sherman S. M., Du, Minxin

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MVSF-AB: Accurate antibody-antigen binding affinity prediction via multi-view sequence feature learning von Li, Minghui, Shi, Yao, Hu, Shengqing, Hu, Shengshan, Guo, Peijin, Wan, Wei, Zhang, Leo Yu, Pan, Shirui, Li, Jizhou, Sun, Lichao, Lan, Xiaoli

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Optimizing Privacy-Preserving Outsourced Convolutional Neural Network Predictions von Li, Minghui, Chow, Sherman S. M., Hu, Shengshan, Yan, Yuejing, Shen, Chao, Wang, Qian

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Depriving the Survival Space of Adversaries Against Poisoned Gradients in Federated Learning von Lu, Jianrong, Hu, Shengshan, Wan, Wei, Li, Minghui, Zhang, Leo Yu, Xue, Lulu, Jin, Hai

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Towards Private and Scalable Cross-Media Retrieval von Hu, Shengshan, Zhang, Leo Yu, Wang, Qian, Qin, Zhan, Wang, Cong

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Evaluating Membership Inference Through Adversarial Robustness von Zhang, Zhaoxi, Yu Zhang, Leo, Zheng, Xufei, Hussain Abbasi, Bilal, Hu, Shengshan

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Robust Backdoor Detection for Deep Learning via Topological Evolution Dynamics von Mo, Xiaoxing, Zhang, Yechao, Zhang, Leo Yu, Luo, Wei, Sun, Nan, Hu, Shengshan, Gao, Shang, Xiang, Yang

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Why Does Little Robustness Help? A Further Step Towards Understanding Adversarial Transferability von Zhang, Yechao, Hu, Shengshan, Zhang, Leo Yu, Shi, Junyu, Li, Minghui, Liu, Xiaogeng, Wan, Wei, Jin, Hai

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Securely Fine-tuning Pre-trained Encoders Against Adversarial Examples von Zhou, Ziqi, Li, Minghui, Liu, Wei, Hu, Shengshan, Zhang, Yechao, Wan, Wei, Xue, Lulu, Zhang, Leo Yu, Yao, Dezhong, Jin, Hai

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CloudBI: Practical Privacy-Preserving Outsourcing of Biometric Identification in the Cloud von Wang, Qian, Hu, Shengshan, Ren, Kui, He, Meiqi, Du, Minxin, Wang, Zhibo

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PointAPA: Towards Availability Poisoning Attacks in 3D Point Clouds von Wang, Xianlong, Li, Minghui, Xu, Peng, Liu, Wei, Zhang, Leo Yu, Hu, Shengshan, Zhang, Yanjun

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ECLIPSE: Expunging Clean-Label Indiscriminate Poisons via Sparse Diffusion Purification von Wang, Xianlong, Hu, Shengshan, Zhang, Yechao, Zhou, Ziqi, Zhang, Leo Yu, Xu, Peng, Wan, Wei, Jin, Hai

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SecSIFT: Privacy-preserving Outsourcing Computation of Feature Extractions Over Encrypted Image Data von Hu, Shengshan, Wang, Qian, Wang, Jingjun, Qin, Zhan, Ren, Kui

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