Juanjuan Weng

According to our database, Juanjuan Weng authored at least 14 papers between 2023 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2026

ORAL: Adaptive Gap Increasing for Advantage Learning via Occam's Razor Principle.

Zhe Zhang, Yongle Zhou, Yuyang Long, Jia Zhang, Juanjuan Weng, Zhetao Li, Yaozhong Gan, Xiaoyang Tan

IEEE Trans. Neural Networks Learn. Syst., April, 2026

Exploring Frequencies via Feature Mixing and Meta-Learning for Improving Adversarial Transferability.

Juanjuan Weng, Zhiming Luo, Shaozi Li

IEEE Trans. Image Process., 2026

Mitigating low-frequency bias: Feature recalibration and frequency attention regularization for adversarial robustness.

Kejia Zhang, Juanjuan Weng, Yuanzheng Cai, Shaozi Li, Zhiming Luo

Neural Networks, 2026

2025

Improving Transferable Targeted Adversarial Attack via Normalized Logit Calibration and Truncated Feature Mixing.

Juanjuan Weng, Zhiming Luo, Shaozi Li

IEEE Trans. Inf. Forensics Secur., 2025

Towards Adversarial Robustness via Debiased High-Confidence Logit Alignment.

Kejia Zhang, Juanjuan Weng, Shaozi Li, Zhiming Luo

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2025

Long-Tailed Out-of-Distribution Detection: Prioritizing Attention to Tail.

Yina He, Lei Peng, Yongcun Zhang, Juanjuan Weng, Shaozi Li, Zhiming Luo

Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025

2024

Learning transferable targeted universal adversarial perturbations by sequential meta-learning.

Juanjuan Weng, Zhiming Luo, Dazhen Lin, Shaozi Li

Comput. Secur., February, 2024

Comparative evaluation of recent universal adversarial perturbations in image classification.

Juanjuan Weng, Zhiming Luo, Dazhen Lin, Shaozi Li

Comput. Secur., January, 2024

Boosting Adversarial Transferability via Logits Mixup With Dominant Decomposed Feature.

Juanjuan Weng, Zhiming Luo, Shaozi Li, Dazhen Lin, Zhun Zhong

IEEE Trans. Inf. Forensics Secur., 2024

Harmonizing Feature Maps: A Graph Convolutional Approach for Enhancing Adversarial Robustness.

Kejia Zhang, Juanjuan Weng, Junwei Wu, Guoqing Yang, Shaozi Li, Zhiming Luo

CoRR, 2024

2023

Towards Robust Person Re-Identification by Defending Against Universal Attackers.

Fengxiang Yang, Juanjuan Weng, Zhun Zhong, Hong Liu, Zheng Wang, Zhiming Luo, Donglin Cao, Shaozi Li, Shin'ichi Satoh, Nicu Sebe

IEEE Trans. Pattern Anal. Mach. Intell., April, 2023

Logit Margin Matters: Improving Transferable Targeted Adversarial Attack by Logit Calibration.

Juanjuan Weng, Zhiming Luo, Shaozi Li, Nicu Sebe, Zhun Zhong

IEEE Trans. Inf. Forensics Secur., 2023

Boosting Adversarial Transferability via Fusing Logits of Top-1 Decomposed Feature.

Juanjuan Weng, Zhiming Luo, Dazhen Lin, Shaozi Li, Zhun Zhong

CoRR, 2023

Exploring Non-target Knowledge for Improving Ensemble Universal Adversarial Attacks.

Juanjuan Weng, Zhiming Luo, Zhun Zhong, Dazhen Lin, Shaozi Li

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023