Leo Yu Zhang
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
71
Venues
35
Active years
2015–2026
Best venue rank
A*
Where they publish
- A*AAAI10 papers
- A*SP6 papers
- A*IJCAI6 papers
- AAsiaCCS4 papers
- BACNS3 papers
- BPAKDD3 papers
- BTrustCom3 papers
- AustralasianACISP2 papers
- AACSAC2 papers
- A*CVPR2 papers
- MulticonferenceICASSP2 papers
- A*ICML2 papers
- AESORICS2 papers
- BICONIP2 papers
- BNSS2 papers
- A*NDSS1 paper
- A*WWW1 paper
- A*EMNLP1 paper
- AFC1 paper
- A*ICDM1 paper
- A*ICLR1 paper
- BIWQoS1 paper
- CKSEM1 paper
- CPDCAT1 paper
- NationalCOMSNETS1 paper
- AECAI1 paper
- BWISE1 paper
- CCSCWD1 paper
- AustralasianDICTA1 paper
- A*ICCV1 paper
- BIJCNN1 paper
- ARAID1 paper
- CISCC1 paper
- BWCNC1 paper
- CISCAS1 paper
Papers
71 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | AAAI | Transferable Backdoor Attacks for Code Models via Sharpness-Aware Adversarial Perturbation. | Shuyu Chang, Haiping Huang, Yanjun Zhang, Yujin Huang, Fu Xiao, Leo Yu Zhang |
| 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 | AAAI | Debiased Dual-Invariant Defense for Adversarially Robust Person Re-Identification. | Yuhang Zhou, Yanxiang Zhao, Zhongyun Hua, Zhipu Liu, Zhaoquan Gu, Qing Liao, 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 | ACISP | Round-Optimal Threshold Blind Signature from Lattices. | Haoqi Zhang, Qinyi Li, Leo Yu Zhang, Hui Tian |
| 2026 | NDSS | Character-Level Perturbations Disrupt LLM Watermarks. | Zhaoxi Zhang, Xiaomei Zhang, Yanjun Zhang, He Zhang, Shirui Pan, Bo Liu, Asif Gill, Leo Yu Zhang |
| 2026 | WWW | Beyond Denial-of-Service: The Puppeteer's Attack for Fine-Grained Control in Ranking-Based Federated Learning. | Zhihao Chen, Zirui Gong, Jianting Ning, Yanjun Zhang, Leo Yu Zhang |
| 2026 | SP | ARES: Scalable and Practical Gradient Inversion Attack in Federated Learning Through Activation Recovery. | Zirui Gong, Leo Yu Zhang, Yanjun Zhang, Viet Vo, Tianqing Zhu, Shirui Pan, Cong Wang |
| 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 | 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 | ACSAC | FLAME: Flexible and Lightweight Biometric Authentication Scheme in Malicious Environments. | Fuyi Wang, Fangyuan Sun, Mingyuan Fan, Jianying Zhou, Jin Ma, Chao Chen, Jiangang Shu, Leo Yu Zhang |
| 2025 | AsiaCCS | When Better Features Mean Greater Risks: The Performance-Privacy Trade-Off in Contrastive Learning. | Ruining Sun, Hongsheng Hu, Wei Luo, Zhaoxi Zhang, Yanjun Zhang, Haizhuan Yuan, Leo Yu Zhang |
| 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 | Pre-training CLIP against Data Poisoning with Optimal Transport-based Matching and Alignment. | Tong Zhang, Kuofeng Gao, Jiawang Bai, Leo Yu Zhang, Xin Yin, Zonghui Wang, Shouling Ji, Wenzhi Chen |
| 2025 | FC | PrivGNN: High-Performance Secure Inference for Cryptographic Graph Neural Networks. | Fuyi Wang, Zekai Chen, Mingyuan Fan, Jianying Zhou, Lei Pan, Leo Yu Zhang |
| 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 | ICDM | TED++: Submanifold-Aware Backdoor Detection via Layerwise Tubular-Neighbourhood Screening. | Nam Le, Leo Yu Zhang, Kewen Liao, Shirui Pan, Wei Luo |
| 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 | ICML | BiMark: Unbiased Multilayer Watermarking for Large Language Models. | Xiaoyan Feng, He Zhang, Yanjun Zhang, Leo Yu Zhang, Shirui Pan |
| 2025 | IJCAI | Performance Guaranteed Poisoning Attacks in Federated Learning: A Sliding Mode Approach. | Huazi Pan, Yanjun Zhang, Leo Yu Zhang, Scott D. Adams, Abbas Z. Kouzani, Suiyang Khoo |
| 2025 | IJCAI | MMGIA: Gradient Inversion Attack Against Multimodal Federated Learning via Intermodal Correlation. | Lele Zheng, Yang Cao, Leo Yu Zhang, Wei Wang, Yulong Shen, Xiaochun Cao |
| 2025 | IWQoS | PP-DACMR: A Privacy-Preserving Deep Adversarial Hashing for Cross-Modal Retrieval. | Jinzhi Ouyang, Fuyi Wang, Ye Luo, Jianting Ning, Leo Yu Zhang |
| 2025 | KSEM | Scale Margin Loss for Object Detection. | Yuxuan Cheng, Yanjun Zhang, Leo Yu Zhang, Donglong Chen, Yuming Fang |
| 2025 | PAKDD | MarkErase: Defeating Entangled Watermarks in Model Extraction Attacks. | Teng Fei, Xinjing Liu, Yanjun Zhang, Haizhuan Yuan, Tianqing Zhu, Leo Yu Zhang |
| 2025 | PAKDD | Arms Race in Deep Learning: A Survey of Backdoor Defenses and Adaptive Attacks. | Xiaoxing Mo, Nan Sun, Leo Yu Zhang, Wei Luo, Shang Gao, Yong Xiang |
| 2025 | PDCAT | Deep Q-Learning from Statistical Demonstrations for Efficient Battery Storage Energy Arbitrage. | Chois Zhi Cai, Hui Tian, Leo Yu Zhang, Lee Weng |
| 2025 | SP | Not All Edges are Equally Robust: Evaluating the Robustness of Ranking-Based Federated Learning. | Zirui Gong, Yanjun Zhang, Leo Yu Zhang, Zhaoxi Zhang, Yong Xiang, Shirui Pan |
| 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 | Conditional Backdoor Attack via JPEG Compression. | Qiuyu Duan, Zhongyun Hua, Qing Liao, Yushu Zhang, 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 | AsiaCCS | CryptGraph: An Efficient Privacy-Enhancing Solution for Accurate Shortest Path Retrieval in Cloud Environments. | Fuyi Wang, Zekai Chen, Lei Pan, Leo Yu Zhang, Jianying Zhou |
| 2024 | COMSNETS | Backdoor Attacks and Generative Model Fairness: Current Trends and Future Research Directions. | Ryan Holland, Shantanu Pal, Lei Pan, Leo Yu Zhang |
| 2024 | ECAI | TrustMIS: Trust-Enhanced Inference Framework for Medical Image Segmentation. | Fuyi Wang, Jinzhi Ouyang, Lei Pan, Leo Yu Zhang, Xiaoning Liu, Yanping Wang, Robin Doss |
| 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 | ICML | IBD-PSC: Input-level Backdoor Detection via Parameter-oriented Scaling Consistency. | Linshan Hou, Ruili Feng, Zhongyun Hua, Wei Luo, Leo Yu Zhang, Yiming Li |
| 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 |
| 2024 | WISE | Deceptive Waves: Embedding Malicious Backdoors in PPG Authentication. | Zeming Yao, Lin Li, Leo Yu Zhang, Fusen Guo, Chao Chen, Jun Zhang |
| 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 | ACNS | WiP: Towards Zero Trust Authentication in Critical Industrial Infrastructures with PRISM. | Fuyi Wang, Yanping Wang, Leo Yu Zhang, Yuval Hertzog, Michael Loewy, Dominique Valladolid, Julio Medeiros, Muna Al-Hawawreh, Robin Doss |
| 2023 | ACNS | Predicate Private Set Intersection with Linear Complexity. | Yaxi Yang, Jian Weng, Yufeng Yi, Changyu Dong, Leo Yu Zhang, Jianying Zhou |
| 2023 | AsiaCCS | LoDen: Making Every Client in Federated Learning a Defender Against the Poisoning Membership Inference Attacks. | Mengyao Ma, Yanjun Zhang, Mahawaga Arachchige Pathum Chamikara, Leo Yu Zhang, Mohan Baruwal Chhetri, Guangdong Bai |
| 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 | CSCWD | Catch Me If You Can: A New Low-Rate DDoS Attack Strategy Disguised by Feint. | Tianyang Cai, Yuqi Li, Tao Jia, Leo Yu Zhang, Zheng Yang |
| 2023 | DICTA | A Bottom-Up Capsule Network for Hierarchical Image Classification. | Khondaker Tasrif Noor, Antonio Robles-Kelly, Leo Yu Zhang, Mohamed Reda Bouadjenek |
| 2023 | ICCV | Downstream-agnostic Adversarial Examples. | Ziqi Zhou, Shengshan Hu, Ruizhi Zhao, Qian Wang, Leo Yu Zhang, Junhui Hou, Hai Jin |
| 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 |
| 2023 | IJCNN | Backdoor Attack on Deep Neural Networks in Perception Domain. | Xiaoxing Mo, Leo Yu Zhang, Nan Sun, Wei Luo, Shang Gao |
| 2023 | RAID | SigA: rPPG-based Authentication for Virtual Reality Head-mounted Display. | Lin Li, Chao Chen, Lei Pan, Leo Yu Zhang, Jun Zhang, Yang Xiang |
| 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 | ICONIP | A Generic Enhancer for Backdoor Attacks on Deep Neural Networks. | Bilal Hussain Abbasi, Qi Zhong, Leo Yu Zhang, Shang Gao, Antonio Robles-Kelly, Robin Doss |
| 2022 | ICONIP | Detecting and Mitigating Backdoor Attacks with Dynamic and Invisible Triggers. | Zhibin Zheng, Zhongyun Hua, Leo Yu Zhang |
| 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 | NSS | A Differential Privacy Mechanism for Deceiving Cyber Attacks in IoT Networks. | Guizhen Yang, Mengmeng Ge, Shang Gao, Xuequan Lu, Leo Yu Zhang, 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 |
| 2022 | TrustCom | Self-Supervised Adversarial Example Detection by Disentangled Representation. | Zhaoxi Zhang, Leo Yu Zhang, Xufei Zheng, Jinyu Tian, Jiantao Zhou |
| 2021 | WCNC | Shielding Federated Learning: A New Attack Approach and Its Defense. | Wei Wan, Jianrong Lu, Shengshan Hu, Leo Yu Zhang, Xiaobing Pei |
| 2020 | NSS | Data Analytics of Crowdsourced Resources for Cybersecurity Intelligence. | Nan Sun, Jun Zhang, Shang Gao, Leo Yu Zhang, Seyit Camtepe, Yang Xiang |
| 2020 | PAKDD | Protecting IP of Deep Neural Networks with Watermarking: A New Label Helps. | Qi Zhong, Leo Yu Zhang, Jun Zhang, Longxiang Gao, Yong Xiang |
| 2020 | TrustCom | Protecting the Intellectual Property of Deep Neural Networks with Watermarking: The Frequency Domain Approach. | Meng Li, Qi Zhong, Leo Yu Zhang, Yajuan Du, Jun Zhang, Yong Xiang |
| 2015 | ISCAS | Joint quantization and diffusion for compressed sensing measurements of natural images. | Leo Yu Zhang, Kwok-Wo Wong, Yushu Zhang, Qiuzhen Lin |