Ren Wang

According to our database, Ren Wang authored at least 24 papers between 2016 and 2024.

Collaborative distances:

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

2024

Physics-Constrained Adversarial Training for Neural Networks in Stochastic Power Grids.

Wenting Li, Deepjyoti Deka, Ren Wang, Mario Roberto Arrieta Paternina

IEEE Trans. Artif. Intell., March, 2024

Backdoor Secrets Unveiled: Identifying Backdoor Data with Optimized Scaled Prediction Consistency.

Soumyadeep Pal, Yuguang Yao, Ren Wang, Bingquan Shen, Sijia Liu

CoRR, 2024

Word-Sequence Entropy: Towards Uncertainty Estimation in Free-Form Medical Question Answering Applications and Beyond.

Zhiyuan Wang, Jinhao Duan, Chenxi Yuan, Qingyu Chen, Tianlong Chen, Huaxiu Yao, Yue Zhang, Ren Wang, Kaidi Xu, Xiaoshuang Shi

CoRR, 2024

Multi-Trigger-Key: Toward Multi-Task Privacy Preserving in Deep Learning.

Ren Wang, Zhe Xu, Alfred O. Hero III

IEEE Access, 2024

2023

PINNs-Based Uncertainty Quantification for Transient Stability Analysis.

Ren Wang, Ming Zhong, Kaidi Xu, Lola Giráldez Sánchez-Cortés, Ignacio de Cominges Guerra

CoRR, 2023

Robust Mode Connectivity-Oriented Adversarial Defense: Enhancing Neural Network Robustness Against Diversified 𝓁_p Attacks.

Ren Wang, Yuxuan Li, Sijia Liu

CoRR, 2023

Enhancing Healthcare Model Trustworthiness Through Theoretically Guaranteed One-Hidden-Layer CNN Purification.

Hanxiao Lu, Zeyu Huang, Ren Wang

Proceedings of the Trustworthy Machine Learning for Healthcare, 2023

Exploring Diversified Adversarial Robustness in Neural Networks via Robust Mode Connectivity.

Ren Wang, Yuxuan Li, Sijia Liu

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Towards Understanding How Self-training Tolerates Data Backdoor Poisoning.

Soumyadeep Pal, Ren Wang, Yuguang Yao, Sijia Liu

Proceedings of the Workshop on Artificial Intelligence Safety 2023 (SafeAI 2023) co-located with the Thirty-Seventh AAAI Conference on Artificial Intelligence (AAAI 2023), 2023

2022

ASK: Adversarial Soft k-Nearest Neighbor Attack and Defense.

Ren Wang, Tianqi Chen, Philip Yao, Sijia Liu, Indika Rajapakse, Alfred O. Hero III

IEEE Access, 2022

RAILS: A Robust Adversarial Immune-Inspired Learning System.

Ren Wang, Tianqi Chen, Stephen Lindsly, Cooper Stansbury, Alnawaz Rehemtulla, Indika Rajapakse, Alfred O. Hero III

IEEE Access, 2022

2021

Multi-Trigger-Key: Towards Multi-Task Privacy Preserving In Deep Learning.

Ren Wang, Zhe Xu, Alfred O. Hero III

CoRR, 2021

Deep Adversarially-Enhanced k-Nearest Neighbors.

Ren Wang, Tianqi Chen

CoRR, 2021

Immuno-mimetic Deep Neural Networks (Immuno-Net).

Ren Wang, Tianqi Chen, Stephen Lindsly, Cooper Stansbury, Indika Rajapakse, Alfred Olivier Hero

CoRR, 2021

On Fast Adversarial Robustness Adaptation in Model-Agnostic Meta-Learning.

Ren Wang, Kaidi Xu, Sijia Liu, Pin-Yu Chen, Tsui-Wei Weng, Chuang Gan, Meng Wang

Proceedings of the 9th International Conference on Learning Representations, 2021

Robust Low-Rank Tensor Recovery From Quantized and Corrupted Measurements.

Ren Wang, Tianqi Chen, Zhe Xu, Pengzhi Gao

Proceedings of the 55th Asilomar Conference on Signals, Systems, and Computers, 2021

2020

Tensor recovery from noisy and multi-level quantized measurements.

Ren Wang, Meng Wang, Jinjun Xiong

EURASIP J. Adv. Signal Process., 2020

Achieve data privacy and clustering accuracy simultaneously through quantized data recovery.

Ren Wang, Meng Wang, Jinjun Xiong

EURASIP J. Adv. Signal Process., 2020

RAILS: A Robust Adversarial Immune-inspired Learning System.

Ren Wang, Tianqi Chen, Stephen Lindsly, Alnawaz Rehemtulla, Alfred O. Hero III, Indika Rajapakse

CoRR, 2020

Practical Detection of Trojan Neural Networks: Data-Limited and Data-Free Cases.

Ren Wang, Gaoyuan Zhang, Sijia Liu, Pin-Yu Chen, Jinjun Xiong, Meng Wang

Proceedings of the Computer Vision - ECCV 2020, 2020

Quantized Higher-Order Tensor Recovery by Exploring Low-Dimensional Structures.

Ren Wang, Meng Wang, Jinjun Xiong

Proceedings of the 54th Asilomar Conference on Signals, Systems, and Computers, 2020

2018

Low-Rank Matrix Recovery From Noisy, Quantized, and Erroneous Measurements.

Pengzhi Gao, Ren Wang, Meng Wang, Joe H. Chow

IEEE Trans. Signal Process., 2018

Data Recovery and Subspace Clustering From Quantized and Corrupted Measurements.

Ren Wang, Meng Wang, Jinjun Xiong

IEEE J. Sel. Top. Signal Process., 2018

2016

Low-rank matrix recovery from quantized and erroneous measurements: Accuracy-preserved data privatization in power grids.

Pengzhi Gao, Ren Wang, Meng Wang, Joe H. Chow

Proceedings of the 50th Asilomar Conference on Signals, Systems and Computers, 2016