I am currently a research fellow at the School of Computing, National University of Singapore. I obtained my Ph.D. in 2023, graduating from the State Key Laboratory of the Institute of Information Engineering, Chinese Academy of Sciences, under the tutelage of Professor Xiaochun Cao. I received my bachelor’s degree in 2018 from the Innovation Class at the School of Software Engineering, Sichuan University.

My research interests span machine learning and computer vision, including trustworthy machine learning and security for deep object detection. In addition, I maintain a strong interest in the security of multimodal foundational models.

📝 Publications

• Transferable adversarial attacks for image and video object detection,
  Xingxing Wei, Siyuan Liang(joint first author), Ning Chen, Xiaochun Cao, IJCAI 2019

• Efficient adversarial attacks for visual object tracking,
  Siyuan Liang, Xingxing Wei, Siyuan Yao, Xiaochun Cao, ECCV 2020

• Parallel rectangle flip attack: A query-based black-box attack against object detection,
  Siyuan Liang, Baoyuan Wu, Yanbo Fan, Xingxing Wei, Xiaochun Cao, ICCV 2021

• Generate more imperceptible adversarial examples for object detection,
  Siyuan Liang, Xingxing Wei, Xiaochun Cao, ICML 2021 Workshop

• A Large-scale Multiple-objective Method for Black-box Attack against Object Detection,
  Siyuan Liang, Longkang Li, Yanbo Fan, Xiaojun Jia, Jingzhi Li, Baoyuan Wu, Xiaochun Cao, ECCV 2022

• Imitated Detectors: Stealing Knowledge of Black-box Object Detectors,
  Siyuan Liang, Aishan Liu, Jiawei Liang, Longkang Li, Yang Bai, Xiaochun Cao, ACMMM 2022

• X-adv: Physical adversarial object attacks against x-ray prohibited item detection,
  Aishan Liu, Jun Guo, Jiakai Wang, Siyuan Liang, Renshuai Tao, Wenbo Zhou, Cong Liu, Xianglong Liu, Dacheng Tao, Usenix Security 2023

• Improving Robust Fairness via Balance Adversarial Training,
  Chunyu Sun, Chenye Xu, Chengyuan Yao, Siyuan Liang, Yichao Wu, Ding Liang, XiangLong Liu, Aishan Liu, AAAI 2023

• Generating Transferable 3D Adversarial Point Cloud via Random Perturbation Factorization,
  Bangyan He, Jian Liu, Yiming Li, Siyuan Liang, Jingzhi Li, Xiaojun Jia, Xiaochun Cao, AAAI 2023

• Exploring the relationship between architecture and adversarially robust generalization,
  Aishan Liu, Shiyu Tang, Siyuan Liang(joint first author), Ruihao Gong, Boxi Wu, Xianglong Liu, Dacheng Tao, CVPR 2023

• Universal Watermark Vaccine: Universal Adversarial Perturbations for Watermark Protection,
  Jianbo Chen, Xinwei Liu, Siyuan Liang, Xiaojun Jia, Yuan Xun, CVPR 2023 Workshop

• Privacy-Enhancing Face Obfuscation Guided by Semantic-Aware Attribution Maps,
  Jingzhi Li, Hua Zhang, Siyuan Liang, Pengwen Dai, Xiaochun Cao, TIFs 2023

• Face Encryption via Frequency-Restricted Identity-Agnostic Attacks,
  Xin Dong, Rui Wang, Siyuan Liang, Aishan Liu, Lihua Jing, ACMMM 2023

• Exploring Inconsistent Knowledge Distillation for Object Detection with Data Augmentation,
  Jiawei Liang, Siyuan Liang(corresponding author), Aishan Liu, Ke Ma, Jingzhi Li, Xiaochun Cao, ACMMM 2023

• Face Encryption via Frequency-Restricted Identity-Agnostic Attacks,
  Xin Dong, Rui Wang, Siyuan Liang, Aishan Liu, Lihua Jing, ACMMM 2023

• Learning to Optimize Permutation Flow Shop Scheduling via Graph-based Imitation Learning,
  Longkang Li, Siyuan Liang, Zihao Zhu, Chris Ding, Hongyuan Zha, Baoyuan Wu, AAAI 2024

• Correlation Matching Transformation Transformers for UHD Image Restoration,
  Cong Wang, Jinshan Pan, Wei Wang, Gang Fu, Siyuan Liang, Mengzhu Wang, Xiao-Ming Wu, Jun Liu, AAAI 2024

• Does Few-shot Learning Suffer from Backdoor Attacks?,
  Xinwei Liu, Xiaojun jia, Jingdong gu, Yuan Xun, Siyuan Liang, Xiaochun Cao, AAAI 2024

📖 Educations

• August 2023 - Now ,
  School of Computing, National University of Singapore, Research Fellow.
• August 2018 - July 2023 ,
  University of Chinese Academy of Sciences, School of Cyberspace Security, Computer Application Technology, Ph.D.
• August 2014 - June 2018,
  SICHUAN UNIVERSITY, College of Software Engineering, Engineering Software Engineering, Bachelor.

💬 Professional Service

• Reviewer: TPAMI, NeurIPS, AAAI, CVPR, IJCAI, ECCV, IEEE TCSVT, IEEE TMM, ICCV, ICLR, ICML, Pattern Recognition
• Program Committee of Workshop:
  Practical Deep Learning in the Wild, AAAI workshop 2023
  The Art of Robustness: Devil and Angel in Adversarial Machine Learning, CVPR workshop 2022

💻 Internships

• Jun 2021 - Jun 2022, Tencent, AI Lab & Data Platform, ShenZhen China.
• Sep 2022 - June 2023, Huawei, Trustworthiness Theory, Technology & Engineering Lab, ShenZhen China.

👩🏻‍🏫 Teaching

2019, 2020 Spring, TA in Discrete Mathematics, instructed by Prof. Xiaochun Cao

📝 PrePrints

• Adaptive Perturbation Generation for Multiple Backdoors Detection,
  Yuhang Wang, Huafeng Shi, Rui Min, Ruijia Wu, Siyuan Liang, Yichao Wu, Ding Liang, Aishan Liu

• BadCLIP: Dual-Embedding Guided Backdoor Attack on Multimodal Contrastive Learning,
  Siyuan Liang, Mingli Zhu, Aishan Liu, Baoyuan Wu, Xiaochun Cao, Ee-Chien Chang