Zhibo Jin

38 papers A* 10A 7Journal 17Unranked 4
YearRankTypeTitle / Venue / Authors
2026 A* conf
K&L: Penetrating Backdoor Defense with Key and Locks.
WWW
Xinyi Wang, Jiayu Zhang, Zhiyu Zhu, Zhibo Jin, Dong Yuan, Huaming Chen
2026 A* conf
Optimal Look-back Horizon for Time Series Forecasting in Federated Learning.
AAAI
Dahao Tang, Nan Yang, Yanli Li, Zhiyu Zhu, Zhibo Jin, Dong Yuan
2025 J jnl
ABE: A Unified Framework for Robust and Faithful Attribution-Based Explainability.
CoRR
Zhiyu Zhu, Jiayu Zhang, Zhibo Jin, Fang Chen, Jianlong Zhou
2025 A conf
Improving Adversarial Transferability via Decision Boundary Adaptation.
UAI
Jiayu Zhang, Zhiyu Zhu, Zhibo Jin, Xinyi Wang, Huaming Chen, Kim-Kwang Raymond Choo
2025 A* conf
Narrowing Information Bottleneck Theory for Multimodal Image-Text Representations Interpretability.
ICLR
Zhiyu Zhu, Zhibo Jin, Jiayu Zhang, Nan Yang, Jiahao Huang, Jianlong Zhou, Fang Chen
2025 J jnl
Narrowing Information Bottleneck Theory for Multimodal Image-Text Representations Interpretability.
CoRR
Zhiyu Zhu, Zhibo Jin, Jiayu Zhang, Nan Yang, Jiahao Huang, Jianlong Zhou, Fang Chen
2025 J jnl
Optimal Look-back Horizon for Time Series Forecasting in Federated Learning.
CoRR
Dahao Tang, Nan Yang, Yanli Li, Zhiyu Zhu, Zhibo Jin, Dong Yuan
2025 J jnl
PAR-AdvGAN: Improving Adversarial Attack Capability with Progressive Auto-Regression AdvGAN.
CoRR
Jiayu Zhang, Zhiyu Zhu, Xinyi Wang, Silin Liao, Zhibo Jin, Flora D. Salim, Huaming Chen
2025 — conf
PAR-AdvGAN: Improving Adversarial Attack Capability with Progressive Auto-regression AdvGAN.
ECML/PKDD (7)
Jiayu Zhang, Zhiyu Zhu, Xinyi Wang, Silin Liao, Zhibo Jin, Flora Salim, Huaming Chen
2025 A* conf
Reproducibility Companion Paper: Enhancing Model Interpretability with Local Attribution over Global Exploration.
ACM Multimedia
Zhiyu Zhu, Zhibo Jin, Jiayu Zhang, Fang Chen, Jianlong Zhou, Vijay John, Florian Spiess
2025 A conf
Rethinking Lipschitzness Data-free Backdoor Defense.
CIKM
Xinyi Wang, Zhiyu Zhu, Zhibo Jin, Huaming Chen, Teng Joon Lim
2025 J jnl
Rethinking Transferable Adversarial Attacks With Double Adversarial Neuron Attribution.
IEEE Trans. Artif. Intell.
Zhiyu Zhu, Zhibo Jin, Xinyi Wang, Jiayu Zhang, Huaming Chen, Kim-Kwang Raymond Choo
2025 A* conf
Splitting & Integrating: Out-of-Distribution Detection via Adversarial Gradient Attribution.
ICML
Jiayu Zhang, Xinyi Wang, Zhibo Jin, Zhiyu Zhu, Jianlong Zhou, Fang Chen, Huaming Chen
2024 J jnl
A Vision-Transformer-Based Convex Variational Network for Bridge Pavement Defect Segmentation.
IEEE Trans. Intell. Transp. Syst.
Haochen Qi, Xiangwei Kong, Zhibo Jin, Jiqiang Zhang, ZiNan Wang
2024 J jnl
AI-Compass: A Comprehensive and Effective Multi-module Testing Tool for AI Systems.
CoRR
Zhiyu Zhu, Zhibo Jin, Hongsheng Hu, Minhui Xue, Ruoxi Sun, Seyit Camtepe, Praveen Gauravaram, Huaming Chen
2024 A* conf
AttEXplore: Attribution for Explanation with model parameters eXploration.
ICLR
Zhiyu Zhu, Huaming Chen, Jiayu Zhang, Xinyi Wang, Zhibo Jin, Jason Xue, Flora D. Salim
2024 J jnl
Attribution for Enhanced Explanation with Transferable Adversarial eXploration.
CoRR
Zhiyu Zhu, Jiayu Zhang, Zhibo Jin, Huaming Chen, Jianlong Zhou, Fang Chen
2024 J jnl
Benchmarking Transferable Adversarial Attacks.
CoRR
Zhibo Jin, Jiayu Zhang, Zhiyu Zhu, Huaming Chen
2024 J jnl
DMS: Addressing Information Loss with More Steps for Pragmatic Adversarial Attacks.
CoRR
Zhiyu Zhu, Jiayu Zhang, Xinyi Wang, Zhibo Jin, Huaming Chen
2024 J jnl
Enhancing Adversarial Attacks via Parameter Adaptive Adversarial Attack.
CoRR
Zhibo Jin, Jiayu Zhang, Zhiyu Zhu, Chenyu Zhang, Jiahao Huang, Jianlong Zhou, Fang Chen
2024 A* conf
Enhancing Model Interpretability with Local Attribution over Global Exploration.
ACM Multimedia
Zhiyu Zhu, Zhibo Jin, Jiayu Zhang, Huaming Chen
2024 J jnl
Enhancing Model Interpretability with Local Attribution over Global Exploration.
CoRR
Zhiyu Zhu, Zhibo Jin, Jiayu Zhang, Huaming Chen
2024 J jnl
Enhancing Transferability of Adversarial Attacks with GE-AdvGAN+: A Comprehensive Framework for Gradient Editing.
CoRR
Zhibo Jin, Jiayu Zhang, Zhiyu Zhu, Yuchen Zhang, Jiahao Huang, Jianlong Zhou, Fang Chen
2024 A* conf
Enhancing Transferable Adversarial Attacks on Vision Transformers through Gradient Normalization Scaling and High-Frequency Adaptation.
ICLR
Zhiyu Zhu, Xinyi Wang, Zhibo Jin, Jiayu Zhang, Huaming Chen
2024 A conf
GE-AdvGAN: Improving the transferability of adversarial samples by gradient editing-based adversarial generative model.
SDM
Zhiyu Zhu, Huaming Chen, Xinyi Wang, Jiayu Zhang, Zhibo Jin, Kim-Kwang Raymond Choo, Jun Shen, Dong Yuan
2024 J jnl
GE-AdvGAN: Improving the transferability of adversarial samples by gradient editing-based adversarial generative model.
CoRR
Zhiyu Zhu, Huaming Chen, Xinyi Wang, Jiayu Zhang, Zhibo Jin, Kim-Kwang Raymond Choo, Jun Shen, Dong Yuan
2024 A conf
Improving Adversarial Transferability via Frequency-Guided Sample Relevance Attack.
CIKM
Xinyi Wang, Zhibo Jin, Zhiyu Zhu, Jiayu Zhang, Huaming Chen
2024 A* conf
Iterative Search Attribution for Deep Neural Networks.
ICML
Zhiyu Zhu, Huaming Chen, Xinyi Wang, Jiayu Zhang, Zhibo Jin, Jason Xue, Jun Shen
2024 — conf
Leveraging Information Consistency in Frequency and Spatial Domain for Adversarial Attacks.
PRICAI (1)
Zhibo Jin, Jiayu Zhang, Zhiyu Zhu, Xinyi Wang, Yiyun Huang, Huaming Chen
2024 J jnl
Leveraging Information Consistency in Frequency and Spatial Domain for Adversarial Attacks.
CoRR
Zhibo Jin, Jiayu Zhang, Zhiyu Zhu, Xinyi Wang, Yiyun Huang, Huaming Chen
2024 A* conf
MFABA: A More Faithful and Accelerated Boundary-Based Attribution Method for Deep Neural Networks.
AAAI
Zhiyu Zhu, Huaming Chen, Jiayu Zhang, Xinyi Wang, Zhibo Jin, Minhui Xue, Dongxiao Zhu, Kim-Kwang Raymond Choo
2023 — conf
DANAA: Towards Transferable Attacks with Double Adversarial Neuron Attribution.
ADMA (2)
Zhibo Jin, Zhiyu Zhu, Xinyi Wang, Jiayu Zhang, Jun Shen, Huaming Chen
2023 J jnl
DANAA: Towards transferable attacks with double adversarial neuron attribution.
CoRR
Zhibo Jin, Zhiyu Zhu, Xinyi Wang, Jiayu Zhang, Jun Shen, Huaming Chen
2023 A conf
FVW: Finding Valuable Weight on Deep Neural Network for Model Pruning.
CIKM
Zhiyu Zhu, Huaming Chen, Zhibo Jin, Xinyi Wang, Jiayu Zhang, Minhui Xue, Qinghua Lu, Jun Shen, Kim-Kwang Raymond Choo
2023 A conf
Improving Adversarial Transferability via Frequency-based Stationary Point Search.
CIKM
Zhiyu Zhu, Huaming Chen, Jiayu Zhang, Xinyi Wang, Zhibo Jin, Qinghua Lu, Jun Shen, Kim-Kwang Raymond Choo
2023 J jnl
MFABA: A More Faithful and Accelerated Boundary-based Attribution Method for Deep Neural Networks.
CoRR
Zhiyu Zhu, Huaming Chen, Jiayu Zhang, Xinyi Wang, Zhibo Jin, Minhui Xue, Dongxiao Zhu, Kim-Kwang Raymond Choo
2023 A conf
POSTER: ML-Compass: A Comprehensive Assessment Framework for Machine Learning Models.
AsiaCCS
Zhibo Jin, Zhiyu Zhu, Hongsheng Hu, Minhui Xue, Huaming Chen
2023 — conf
Towards Minimising Perturbation Rate for Adversarial Machine Learning with Pruning.
ECML/PKDD (1)
Zhiyu Zhu, Jiayu Zhang, Zhibo Jin, Xinyi Wang, Minhui Xue, Jun Shen, Kim-Kwang Raymond Choo, Huaming Chen