Research

Adaptive Compression and Targeted Perturbation: A Unified Framework for Generalized Audio Deepfake Detection

J. Cui, H. Zhu, H. Meng and Y. Zhang^*

Proceedings of the 40th Annual Conference on Neural Information Processing Systems (NeurIPS 2026). Sydney, Australia; Atlanta, GA, USA; Paris, France. Forthcoming.

NeurIPS 2026 CCF A

IoUCert: Robustness Verification for Anchor-based Object Detectors

B. Brückner, A. J. Mercado, Y. Zhang, P. Kouvaros and A. Lomuscio

Proceedings of the 19th European Conference on Computer Vision (ECCV 2026). Malmö, Sweden. Springer.

ECCV 2026 CCF B

Never Compromise with Vulnerabilities: A Comprehensive Survey on AI Governance

Y. Jiang, J. Zhao, Y. Yuan, T. Zhang, Y. Huang, Y. Zhang, Y. Wang, Y. Li, X. Guo, Y. Zhao, H. Zhou, J. Zhang, Z. Zhang, X. Lin, Y. Zou, H. Ma, Y. Shang, Y. Hu, K. Cai, R. Zhang, B. Chen, Y. Gao, Z. Jiao, Y. Qin, S. Du, X. Tong, Z. Liu, Y. Chen, X. Rong, R. Wang, Y. Zheng, Z. Fan, M. Sensoy, H. Zhang, P. Zhou, L. Jin, H. Zhao, X. Yang, J. Zhao, J. Li, J. Zhou, Z. Cheng, L. Huang, Z. Liu, Z. Zhu, J. Li, G. Wang, Q. Li, X. Zhang, Y. Yang, M. Ye, W. Ren, Z. He, H. Su, R. Ni, L. Jing, X. Wei, J. Xing, M. Alioto, S. Shen, P. Radeva, D. Tao, Y. Zhang, S. Yan and X. Li

Science China Information Sciences (2026). Science China Press / Springer.

IF 8.1 CCF A JCR Q1

Scalable Neural Network Geometric Robustness Validation via Hölder Optimisation

Y. Zhang, P. Kouvaros and A. Lomuscio

Proceedings of the 39th Annual Conference on Neural Information Processing Systems (NeurIPS 2025). San Diego, CA, USA. Neural Information Processing Systems Foundation.

NeurIPS 2025 CCF A

A Black-Box Evaluation Framework for Semantic Robustness in Bird's Eye View Detection

F. Wang, Y. Zhang, X. Yin, G. Cheng, Z. Fu, X. Huang and W. Ruan

Proceedings of the 39th AAAI Conference on Artificial Intelligence (AAAI 2025). Philadelphia, PA, USA. AAAI Press.

AAAI 2025 CCF A

Safeguarding Large Language Models: A Survey

Y. Dong, R. Mu, Y. Zhang, S. Sun, T. Zhang, C. Wu, G. Jin, Y. Qi, J. Hu, J. Meng, S. Bensalem and X. Huang

Artificial Intelligence Review (2025). Springer.

IF 18.8 JCR Q1

PRASS: Probabilistic Risk-averse Robust Learning with Stochastic Search

T. Zhang, Y. Zhang, R. Mu, J. Liu, J. Fieldsend and W. Ruan

Proceedings of the 33rd International Joint Conference on Artificial Intelligence (IJCAI 2024). Jeju, South Korea. IJCAI.

IJCAI 2024 CCF B

Towards Fairness-Aware Adversarial Learning

Y. Zhang, T. Zhang, R. Mu, X. Huang and W. Ruan

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR 2024). Seattle, WA, USA. IEEE / Computer Vision Foundation.

CVPR 2024 Code CCF A

Reward Certification for Policy Smoothed Reinforcement Learning

R. Mu, L. Marcolino, Y. Zhang, T. Zhang, X. Huang and W. Ruan

Proceedings of the 38th AAAI Conference on Artificial Intelligence (AAAI 2024). Vancouver, Canada. AAAI Press.

AAAI 2024 Code CCF A

DeepGRE: Global Robustness Evaluation of Deep Neural Networks

T. Zhang, J. Liu, Y. Zhang, R. Mu, X. Huang and W. Ruan

Proceedings of the IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2024). Seoul, South Korea. IEEE.

ICASSP 2024 CCF B

A Survey of Safety and Trustworthiness of Large Language Models through the Lens of Verification and Validation

X. Huang, W. Ruan, W. Huang, G. Jin, Y. Dong, C. Wu, S. Bensalem, R. Mu, Y. Qi, X. Zhao, K. Cai, Y. Zhang, S. Wu, P. Xu, D. Wu, A. Freitas and M. A. Mustafa

Artificial Intelligence Review (2024). Springer.

IF 18.8 JCR Q1

Self-adaptive Adversarial Training for Robust Medical Segmentation

F. Wang, Z. Fu, Y. Zhang and W. Ruan

Proceedings of the 26th International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI 2023). Vancouver, Canada. Springer.

MICCAI 2023 Code CCF B

Generalizing universal adversarial perturbations for deep neural networks

Y. Zhang, W. Ruan, F. Wang and X. Huang

Machine Learning, 112(5): 1597-1626 (2023). Springer.

IF 4.9 CCF B JCR Q2

Dynamic Efficient Adversarial Training Guided by Gradient Magnitude

F. Wang, Y. Zhang, Y. Zheng and W. Ruan

NeurIPS 2022 Workshop on Progress and Challenges in Building Trustworthy Embodied AI (TEA). New Orleans, LA, USA.

NeurIPS 2022 · TEA Workshop Code

Fooling Object Detectors: Adversarial Attacks by Half-Neighbor Masks

Y. Zhang, F. Wang and W. Ruan

Proceedings of the CIKM 2020 AnalytiCup Workshop. Galway, Ireland (virtual event). CEUR Workshop Proceedings, Vol. 2881.

Code

Generalizing Universal Adversarial Attacks Beyond Additive Perturbations

Y. Zhang, W. Ruan, F. Wang, and X. Huang

Proceedings of the IEEE International Conference on Data Mining (ICDM 2020). Sorrento, Italy (virtual event). IEEE.

Code Video CCF B

Dual Sparse Learning via Data Augmentation for Robust Facial Image Classification

S. Zeng, B. Zhang, Y. Zhang and J. Gou

International Journal of Machine Learning and Cybernetics, 11(3): 1717–1734 (2020). Springer.

IF 2.9 JCR Q3

Collaboratively Weighting Deep and Classic Representation via L2 Regularization for Image Classification

S. Zeng, B. Zhang, Y. Zhang and J. Gou

Proceedings of the 10th Asian Conference on Machine Learning (ACML 2018), pp. 502–517. Beijing, China. PMLR, Vol. 95.

ACML 2018 CCF C

Synthetic Training Samples for Enhanced Locality-Constrained Dictionary Learning

Y. Zhang, S. Zeng, W. Zeng and H. Jiang

Proceedings of the 2nd Asian Conference on Artificial Intelligence Technology (ACAIT 2018). Chongqing, China. The Journal of Engineering, 2018(16): 1761–1767. IET.

ACAIT 2018 [Oral Presentation, Best Session Paper]

GNN-CRC: Discriminative Collaborative Representation-Based Classification via Gabor Wavelet Transformation and Nearest Neighbor

Y. Zhang, S. Zeng, W. Zeng and J. Gou

J. Shanghai Jiao Tong Univ. (Sci.), 23(5): 657-665 (2018). Springer.