Juanjuan Weng - RankMe

20 papers A* 2Journal 18

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Exploring Frequencies via Feature Mixing and Meta-Learning for Improving Adversarial Transferability. IEEE Trans. Image Process. Juanjuan Weng, Zhiming Luo, Shaozi Li
2026	J	`jnl`	Mitigating low-frequency bias: Feature recalibration and frequency attention regularization for adversarial robustness. Neural Networks Kejia Zhang, Juanjuan Weng, Yuanzheng Cai, Shaozi Li, Zhiming Luo
2026	J	`jnl`	ORAL: Adaptive Gap Increasing for Advantage Learning via Occam's Razor Principle. IEEE Trans. Neural Networks Learn. Syst. Zhe Zhang, Yongle Zhou, Yuyang Long, Jia Zhang, Juanjuan Weng, Zhetao Li, Yaozhong Gan, Xiaoyang Tan
2025	J	`jnl`	Improving Transferable Targeted Adversarial Attack via Normalized Logit Calibration and Truncated Feature Mixing. IEEE Trans. Inf. Forensics Secur. Juanjuan Weng, Zhiming Luo, Shaozi Li
2025	A*	`conf`	Long-Tailed Out-of-Distribution Detection: Prioritizing Attention to Tail. AAAI Yina He, Lei Peng, Yongcun Zhang, Juanjuan Weng, Shaozi Li, Zhiming Luo
2024	J	`jnl`	Boosting Adversarial Transferability via Logits Mixup With Dominant Decomposed Feature. IEEE Trans. Inf. Forensics Secur. Juanjuan Weng, Zhiming Luo, Shaozi Li, Dazhen Lin, Zhun Zhong
2024	J	`jnl`	Comparative evaluation of recent universal adversarial perturbations in image classification. Comput. Secur. Juanjuan Weng, Zhiming Luo, Dazhen Lin, Shaozi Li
2024	J	`jnl`	Exploring Frequencies via Feature Mixing and Meta-Learning for Improving Adversarial Transferability. CoRR Juanjuan Weng, Zhiming Luo, Shaozi Li
2024	J	`jnl`	Harmonizing Feature Maps: A Graph Convolutional Approach for Enhancing Adversarial Robustness. CoRR Kejia Zhang, Juanjuan Weng, Junwei Wu, Guoqing Yang, Shaozi Li, Zhiming Luo
2024	J	`jnl`	Improving Transferable Targeted Adversarial Attack via Normalized Logit Calibration and Truncated Feature Mixing. CoRR Juanjuan Weng, Zhiming Luo, Shaozi Li
2024	J	`jnl`	Learning transferable targeted universal adversarial perturbations by sequential meta-learning. Comput. Secur. Juanjuan Weng, Zhiming Luo, Dazhen Lin, Shaozi Li
2024	J	`jnl`	Long-Tailed Out-of-Distribution Detection: Prioritizing Attention to Tail. CoRR Yina He, Lei Peng, Yongcun Zhang, Juanjuan Weng, Zhiming Luo, Shaozi Li
2024	J	`jnl`	Mitigating Low-Frequency Bias: Feature Recalibration and Frequency Attention Regularization for Adversarial Robustness. CoRR Kejia Zhang, Juanjuan Weng, Yuanzheng Cai, Zhiming Luo, Shaozi Li
2024	J	`jnl`	Towards Adversarial Robustness via Debiased High-Confidence Logit Alignment. CoRR Kejia Zhang, Juanjuan Weng, Zhiming Luo, Shaozi Li
2023	J	`jnl`	Boosting Adversarial Transferability via Fusing Logits of Top-1 Decomposed Feature. CoRR Juanjuan Weng, Zhiming Luo, Dazhen Lin, Shaozi Li, Zhun Zhong
2023	J	`jnl`	Comparative Evaluation of Recent Universal Adversarial Perturbations in Image Classification. CoRR Juanjuan Weng, Zhiming Luo, Dazhen Lin, Shaozi Li
2023	A*	`conf`	Exploring Non-target Knowledge for Improving Ensemble Universal Adversarial Attacks. AAAI Juanjuan Weng, Zhiming Luo, Zhun Zhong, Dazhen Lin, Shaozi Li
2023	J	`jnl`	Logit Margin Matters: Improving Transferable Targeted Adversarial Attack by Logit Calibration. CoRR Juanjuan Weng, Zhiming Luo, Zhun Zhong, Shaozi Li, Nicu Sebe
2023	J	`jnl`	Logit Margin Matters: Improving Transferable Targeted Adversarial Attack by Logit Calibration. IEEE Trans. Inf. Forensics Secur. Juanjuan Weng, Zhiming Luo, Shaozi Li, Nicu Sebe, Zhun Zhong
2023	J	`jnl`	Towards Robust Person Re-Identification by Defending Against Universal Attackers. IEEE Trans. Pattern Anal. Mach. Intell. Fengxiang Yang, Juanjuan Weng, Zhun Zhong, Hong Liu, Zheng Wang, Zhiming Luo, Donglin Cao, Shaozi Li, Shin'ichi Satoh, Nicu Sebe