Shengshan Hu
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
48
Venues
20
Active years
2015–2026
Best venue rank
A*
Where they publish
- A*AAAI8 papers
- A*IJCAI5 papers
- MulticonferenceICASSP4 papers
- A*SP4 papers
- A*INFOCOM4 papers
- A*CVPR3 papers
- AESORICS3 papers
- AICDCS2 papers
- A*ICCV2 papers
- BTrustCom2 papers
- A*CCS2 papers
- AustralasianACISP1 paper
- BPAKDD1 paper
- BACNS1 paper
- A*EMNLP1 paper
- A*ICLR1 paper
- AACSAC1 paper
- AAsiaCCS1 paper
- CISCC1 paper
- BWCNC1 paper
Papers
48 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | AAAI | Dual-View Inference Attack: Machine Unlearning Amplifies Privacy Exposure. | Lulu Xue, Shengshan Hu, Linqiang Qian, Peijin Guo, Yechao Zhang, Minghui Li, Yanjun Zhang, Dayong Ye, Leo Yu Zhang |
| 2026 | ACISP | Scrutinising Parametric Distance Verification in Unlearning: A Coupling Perspective. | Jingming Dai, Lulu Xue, Jintian Ji, Yanjun Zhang, Shengshan Hu, Leo Yu Zhang |
| 2026 | PAKDD | MultiADC: Advanced Antibody-Drug Conjugate Activity Prediction Through Multi-scale Feature Fusion. | Minghui Li, Yang Wu, Zikang Guo, Peijin Guo, Shengshan Hu, Shengqing Hu, Xiaoli Lan |
| 2025 | AAAI | NumbOD: A Spatial-Frequency Fusion Attack Against Object Detectors. | Ziqi Zhou, Bowen Li, Yufei Song, Zhifei Yu, Shengshan Hu, Wei Wan, Leo Yu Zhang, Dezhong Yao, Hai Jin |
| 2025 | AAAI | Detecting and Corrupting Convolution-based Unlearnable Examples. | Minghui Li, Xianlong Wang, Zhifei Yu, Shengshan Hu, Ziqi Zhou, Longling Zhang, Leo Yu Zhang |
| 2025 | AAAI | Breaking Barriers in Physical-World Adversarial Examples: Improving Robustness and Transferability via Robust Feature. | Yichen Wang, Yuxuan Chou, Ziqi Zhou, Hangtao Zhang, Wei Wan, Shengshan Hu, Minghui Li |
| 2025 | AAAI | Improving Generalization of Universal Adversarial Perturbation via Dynamic Maximin Optimization. | Yechao Zhang, Yingzhe Xu, Junyu Shi, Leo Yu Zhang, Shengshan Hu, Minghui Li, Yanjun Zhang |
| 2025 | ACNS | sf SEBioID: Secure and Efficient Biometric Identification with Two-Party Computation. | Fuyi Wang, Jinzhi Ouyang, Leo Yu Zhang, Lei Pan, Shengshan Hu, Robin Doss, Jianying Zhou |
| 2025 | CVPR | Test-Time Backdoor Detection for Object Detection Models. | Hangtao Zhang, Yichen Wang, Shihui Yan, Chenyu Zhu, Ziqi Zhou, Linshan Hou, Shengshan Hu, Minghui Li, Yanjun Zhang, Leo Yu Zhang |
| 2025 | EMNLP | Transferable Direct Prompt Injection via Activation-Guided MCMC Sampling. | Minghui Li, Hao Zhang, Yechao Zhang, Wei Wan, Shengshan Hu, Pei Xiaobing, Jing Wang |
| 2025 | ICASSP | An Efficient Residual-based Low-dose PET Reconstruction with Spatial-Frequency Integration. | Minghui Li, Lei Yu, Hewen Pan, Shengqing Hu, Longling Zhang, Shengshan Hu, Wei Wan, Peijin Guo |
| 2025 | ICASSP | PB-UAP: Hybride Universal Adversarial Attack for Image Segmentation. | Yufei Song, Ziqi Zhou, Minghui Li, Xianlong Wang, Hangtao Zhang, Menghao Deng, Wei Wan, Shengshan Hu, Leo Yu Zhang |
| 2025 | ICDCS | FedLTH: A Privacy-preserving Federated Learning Framework with Model Pruning on Edge Clients. | Heyu Zhang, Yulai Xie, Shengshan Hu, Miao He, Peisong He, Jun Zheng, Dan Feng |
| 2025 | ICLR | BadRobot: Jailbreaking Embodied LLM Agents in the Physical World. | Hangtao Zhang, Chenyu Zhu, Xianlong Wang, Ziqi Zhou, Changgan Yin, Minghui Li, Lulu Xue, Yichen Wang, Shengshan Hu, Aishan Liu, Peijin Guo, Leo Yu Zhang |
| 2025 | SP | Secure Transfer Learning: Training Clean Model Against Backdoor in Pre-Trained Encoder and Downstream Dataset. | Yechao Zhang, Yuxuan Zhou, Tianyu Li, Minghui Li, Shengshan Hu, Wei Luo, Leo Yu Zhang |
| 2024 | AAAI | Towards Model Extraction Attacks in GAN-Based Image Translation via Domain Shift Mitigation. | Di Mi, Yanjun Zhang, Leo Yu Zhang, Shengshan Hu, Qi Zhong, Haizhuan Yuan, Shirui Pan |
| 2024 | AAAI | Revisiting Gradient Pruning: A Dual Realization for Defending against Gradient Attacks. | Lulu Xue, Shengshan Hu, Ruizhi Zhao, Leo Yu Zhang, Shengqing Hu, Lichao Sun, Dezhong Yao |
| 2024 | ACSAC | Stealing Watermarks of Large Language Models via Mixed Integer Programming. | Zhaoxi Zhang, Xiaomei Zhang, Yanjun Zhang, Leo Yu Zhang, Chao Chen, Shengshan Hu, Asif Gill, Shirui Pan |
| 2024 | ESORICS | ECLIPSE: Expunging Clean-Label Indiscriminate Poisons via Sparse Diffusion Purification. | Xianlong Wang, Shengshan Hu, Yechao Zhang, Ziqi Zhou, Leo Yu Zhang, Peng Xu, Wei Wan, Hai Jin |
| 2024 | ESORICS | PointAPA: Towards Availability Poisoning Attacks in 3D Point Clouds. | Xianlong Wang, Minghui Li, Peng Xu, Wei Liu, Leo Yu Zhang, Shengshan Hu, Yanjun Zhang |
| 2024 | ICASSP | MISA: Unveiling the Vulnerabilities in Split Federated Learning. | Wei Wan, Yuxuan Ning, Shengshan Hu, Lulu Xue, Minghui Li, Leo Yu Zhang, Hai Jin |
| 2024 | ICASSP | Stealthy Backdoor Attack Towards Federated Automatic Speaker Verification. | Longling Zhang, Lyqi Liu, Dan Meng, Jun Wang, Shengshan Hu |
| 2024 | IJCAI | DarkFed: A Data-Free Backdoor Attack in Federated Learning. | Minghui Li, Wei Wan, Yuxuan Ning, Shengshan Hu, Lulu Xue, Leo Yu Zhang, Yichen Wang |
| 2024 | IJCAI | Detector Collapse: Backdooring Object Detection to Catastrophic Overload or Blindness in the Physical World. | Hangtao Zhang, Shengshan Hu, Yichen Wang, Leo Yu Zhang, Ziqi Zhou, Xianlong Wang, Yanjun Zhang, Chao Chen |
| 2024 | SP | Robust Backdoor Detection for Deep Learning via Topological Evolution Dynamics. | Xiaoxing Mo, Yechao Zhang, Leo Yu Zhang, Wei Luo, Nan Sun, Shengshan Hu, Shang Gao, Yang Xiang |
| 2024 | SP | Why Does Little Robustness Help? A Further Step Towards Understanding Adversarial Transferability. | Yechao Zhang, Shengshan Hu, Leo Yu Zhang, Junyu Shi, Minghui Li, Xiaogeng Liu, Wei Wan, Hai Jin |
| 2024 | SP | Securely Fine-tuning Pre-trained Encoders Against Adversarial Examples. | Ziqi Zhou, Minghui Li, Wei Liu, Shengshan Hu, Yechao Zhang, Wei Wan, Lulu Xue, Leo Yu Zhang, Dezhong Yao, Hai Jin |
| 2023 | AAAI | PointCA: Evaluating the Robustness of 3D Point Cloud Completion Models against Adversarial Examples. | Shengshan Hu, Junwei Zhang, Wei Liu, Junhui Hou, Minghui Li, Leo Yu Zhang, Hai Jin, Lichao Sun |
| 2023 | AsiaCCS | Masked Language Model Based Textual Adversarial Example Detection. | Xiaomei Zhang, Zhaoxi Zhang, Qi Zhong, Xufei Zheng, Yanjun Zhang, Shengshan Hu, Leo Yu Zhang |
| 2023 | CVPR | Detecting Backdoors During the Inference Stage Based on Corruption Robustness Consistency. | Xiaogeng Liu, Minghui Li, Haoyu Wang, Shengshan Hu, Dengpan Ye, Hai Jin, Libing Wu, Chaowei Xiao |
| 2023 | ICCV | Benchmarking and Analyzing Robust Point Cloud Recognition: Bag of Tricks for Defending Adversarial Examples. | Qiufan Ji, Lin Wang, Cong Shi, Shengshan Hu, Yingying Chen, Lichao Sun |
| 2023 | ICCV | Downstream-agnostic Adversarial Examples. | Ziqi Zhou, Shengshan Hu, Ruizhi Zhao, Qian Wang, Leo Yu Zhang, Junhui Hou, Hai Jin |
| 2023 | IJCAI | Voice Guard: Protecting Voice Privacy with Strong and Imperceptible Adversarial Perturbation in the Time Domain. | Jingyang Li, Dengpan Ye, Long Tang, Chuanxi Chen, Shengshan Hu |
| 2023 | IJCAI | Denial-of-Service or Fine-Grained Control: Towards Flexible Model Poisoning Attacks on Federated Learning. | Hangtao Zhang, Zeming Yao, Leo Yu Zhang, Shengshan Hu, Chao Chen, Alan Wee-Chung Liew, Zhetao Li |
| 2022 | CVPR | Protecting Facial Privacy: Generating Adversarial Identity Masks via Style-robust Makeup Transfer. | Shengshan Hu, Xiaogeng Liu, Yechao Zhang, Minghui Li, Leo Yu Zhang, Hai Jin, Libing Wu |
| 2022 | IJCAI | Shielding Federated Learning: Robust Aggregation with Adaptive Client Selection. | Wei Wan, Shengshan Hu, Jianrong Lu, Leo Yu Zhang, Hai Jin, Yuanyuan He |
| 2022 | ISCC | Towards Privacy-Preserving Neural Architecture Search. | Fuyi Wang, Leo Yu Zhang, Lei Pan, Shengshan Hu, Robin Doss |
| 2022 | TrustCom | Challenges and Approaches for Mitigating Byzantine Attacks in Federated Learning. | Junyu Shi, Wei Wan, Shengshan Hu, Jianrong Lu, Leo Yu Zhang |
| 2021 | CCS | Feature-Indistinguishable Attack to Circumvent Trapdoor-Enabled Defense. | Chaoxiang He, Bin Benjamin Zhu, Xiaojing Ma, Hai Jin, Shengshan Hu |
| 2021 | WCNC | Shielding Federated Learning: A New Attack Approach and Its Defense. | Wei Wan, Jianrong Lu, Shengshan Hu, Leo Yu Zhang, Xiaobing Pei |
| 2018 | INFOCOM | Searching an Encrypted Cloud Meets Blockchain: A Decentralized, Reliable and Fair Realization. | Shengshan Hu, Chengjun Cai, Qian Wang, Cong Wang, Xiangyang Luo, Kui Ren |
| 2018 | INFOCOM | InPrivate Digging: Enabling Tree-based Distributed Data Mining with Differential Privacy. | Lingchen Zhao, Lihao Ni, Shengshan Hu, Yanjiao Chen, Pan Zhou, Fu Xiao, Libing Wu |
| 2017 | INFOCOM | Learning privately: Privacy-preserving canonical correlation analysis for cross-media retrieval. | Qian Wang, Shengshan Hu, Minxin Du, Jingjun Wang, Kui Ren |
| 2016 | CCS | SecHOG: Privacy-Preserving Outsourcing Computation of Histogram of Oriented Gradients in the Cloud. | Qian Wang, Jingjun Wang, Shengshan Hu, Qin Zou, Kui Ren |
| 2016 | ICDCS | Secure Surfing: Privacy-Preserving Speeded-Up Robust Feature Extractor. | Qian Wang, Shengshan Hu, Jingjun Wang, Kui Ren |
| 2016 | INFOCOM | Catch me in the dark: Effective privacy-preserving outsourcing of feature extractions over image data. | Qian Wang, Shengshan Hu, Kui Ren, Jingjun Wang, Zhibo Wang, Minxin Du |
| 2016 | TrustCom | Securing Fast Learning! Ridge Regression over Encrypted Big Data. | Shengshan Hu, Qian Wang, Jingjun Wang, Sherman S. M. Chow, Qin Zou |
| 2015 | ESORICS | CloudBI: Practical Privacy-Preserving Outsourcing of Biometric Identification in the Cloud. | Qian Wang, Shengshan Hu, Kui Ren, Meiqi He, Minxin Du, Zhibo Wang |