Hi! ๐ฅฐ Iโm Sen Nie (่ๆฃฎ), a first-year Masterโs student at the Visual Information Processing and Learning (VIPL) group, Institute of Computing Technology (ICT), Chinese Academy of Sciences (CAS). I also conduct research at the State Key Laboratory of AI Safety, under the supervision of Profs. Jie Zhang, Shiguang Shan (IEEE Fellow), and Xilin Chen (IEEE Fellow).
My research is currently focused on the frontier of AI Safety. Iโm passionate about building robust and trustworthy AI systems and am always open to collaboration or a good academic chat!
๐ฅ News
- May 2026 ๐ Paper CSR has been accepted by ICML 2026! Thanks to all co-authors!
- Mar 2026 ๐ Our work BIMM has been accepted by TCSVT 2026! Thanks to all co-authors!
- Feb 2026 ๐ Paper V-Attack is accepted by CVPR 2026! Thanks to all co-authors!
- Jan 2026 ๐ฅ Our team AIST_ICT achieved 1st place in Anti-BAD (IEEE SaTML 2026)! Congratulations to all team members!
- Jun 2025 ๐ Graduated from Wuhan University; awarded Outstanding Graduate and Outstanding Undergraduate Thesis honors.
๐ Publications
Contrastive Spectral Rectification: Test-Time Defense towards Zero-shot Adversarial Robustness of CLIP
Code
Sen Nie, Jie Zhang, Zhuo Wang, Shiguang Shan, Xilin Chen
International Conference on Machine Learning (ICML), 2026
Contrastive Spectral Rectification (CSR) is an input-adaptive test-time defense for VLMs that optimizes a spectral-guided contrastive rectification perturbation to realign each input with the natural image manifold.
Sen Nie, Jie Zhang, Zhuo Wang, Shiguang Shan, Xilin Chen
International Conference on Machine Learning (ICML), 2026
Contrastive Spectral Rectification (CSR) is an input-adaptive test-time defense for VLMs that optimizes a spectral-guided contrastive rectification perturbation to realign each input with the natural image manifold.
BIMM: Brain Inspired Masked Modeling for Video Representation Learning
Jie Zhang, Zhifan Wan, Sen Nie, Changzhen Li, Shiguang Shan, Xilin Chen
IEEE Transactions on Circuits and Systems for Video Technology (TCSVT), 2026
Brain Inspired Masked Modeling (BIMM) learns video representations with paired ventral image and dorsal video ViT branches trained by masked modeling, progressive intermediate-target reconstruction, and partial parameter sharing to model layered object and motion processing in the human visual system.
Jie Zhang, Zhifan Wan, Sen Nie, Changzhen Li, Shiguang Shan, Xilin Chen
IEEE Transactions on Circuits and Systems for Video Technology (TCSVT), 2026
Brain Inspired Masked Modeling (BIMM) learns video representations with paired ventral image and dorsal video ViT branches trained by masked modeling, progressive intermediate-target reconstruction, and partial parameter sharing to model layered object and motion processing in the human visual system.
V-Attack: Targeting Disentangled Value Features for Controllable Adversarial Attacks on LVLMs
Code
Sen Nie, Jie Zhang, Jianxin Yan, Shiguang Shan, Xilin Chen
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2026
V-Attack precisely manipulates image semantics in LVLMs by attacking transformer value features rather than entangled patch tokens, using Self-Value Enhancement to strengthen local semantic information and Text-Guided Value Manipulation to optimize a specified source concept toward a target concept.
Sen Nie, Jie Zhang, Jianxin Yan, Shiguang Shan, Xilin Chen
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2026
V-Attack precisely manipulates image semantics in LVLMs by attacking transformer value features rather than entangled patch tokens, using Self-Value Enhancement to strengthen local semantic information and Text-Guided Value Manipulation to optimize a specified source concept toward a target concept.
๐ Awards
- 1st Place, Anti-BAD: An Anti-Backdoor Challenge for Post-Trained Large Language Models, a competition for IEEE SaTML 2026
- National First Prize (Top 0.5%) and Nationally Selected Demonstration Paper (Top 12/59,611 teams) in CUMCM 2023; the paper was recommended by the organizing committee for publication in Mathematical Modeling and Its Applications
๐ Honors
- At WHU, awarded Outstanding Graduate (2025), Outstanding Undergraduate Thesis (2025), and Outstanding Student Award (2021-2024)
- At WHU, awarded Lei Jun Scholarship (Top 1%), NSFOCUS (LvMeng) Scholarship (Top 0.5%), and First-Class Scholarship *3 (Top 5%)
๐ Education
Institute of Computing Technology, Chinese Academy of Sciences
M.S. Candidate in Computer Science and Technology
Wuhan University
B.Eng. in Cyberspace Security