Qinglong Wang

According to our database, Qinglong Wang authored at least 23 papers between 2016 and 2025.

Collaborative distances:

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

2025

Imperceptible but Forgeable: Practical Invisible Watermark Forgery via Diffusion Models.

Ziping Dong, Chao Shuai, Zhongjie Ba, Peng Cheng, Zhan Qin, Qinglong Wang, Kui Ren

CoRR, March, 2025

Robust Watermarks Leak: Channel-Aware Feature Extraction Enables Adversarial Watermark Manipulation.

Zhongjie Ba, Yitao Zhang, Peng Cheng, Bin Gong, Xinyu Zhang, Qinglong Wang, Kui Ren

CoRR, February, 2025

SecHeadset: A Practical Privacy Protection System for Real-time Voice Communication.

Peng Huang, Kun Pan, Qinglong Wang, Peng Cheng, Li Lu, Zhongjie Ba, Kui Ren

Proceedings of the 23rd Annual International Conference on Mobile Systems, 2025

2024

SurrogatePrompt: Bypassing the Safety Filter of Text-to-Image Models via Substitution.

Zhongjie Ba, Jieming Zhong, Jiachen Lei, Peng Cheng, Qinglong Wang, Zhan Qin, Zhibo Wang, Kui Ren

Proceedings of the 2024 on ACM SIGSAC Conference on Computer and Communications Security, 2024

2021

An Entropy Metric for Regular Grammar Classification and Learning with Recurrent Neural Networks.

Kaixuan Zhang, Qinglong Wang, C. Lee Giles

Entropy, 2021

2020

Shapley Homology: Topological Analysis of Sample Influence for Neural Networks.

Kaixuan Zhang, Qinglong Wang, Xue Liu, C. Lee Giles

Neural Comput., 2020

Deep Learning, Grammar Transfer, and Transportation Theory.

Kaixuan Zhang, Qinglong Wang, C. Lee Giles

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2020

Adversarial Models for Deterministic Finite Automata.

Kaixuan Zhang, Qinglong Wang, C. Lee Giles

Proceedings of the Advances in Artificial Intelligence, 2020

2019

Connecting First and Second Order Recurrent Networks with Deterministic Finite Automata.

Qinglong Wang, Kaixuan Zhang, Xue Liu, C. Lee Giles

CoRR, 2019

Gated Attentive-Autoencoder for Content-Aware Recommendation.

Chen Ma, Peng Kang, Bin Wu, Qinglong Wang, Xue Liu

Proceedings of the Twelfth ACM International Conference on Web Search and Data Mining, 2019

2018

An Empirical Evaluation of Rule Extraction from Recurrent Neural Networks.

Qinglong Wang, Kaixuan Zhang, Alexander G. Ororbia II, Xinyu Xing, Xue Liu, C. Lee Giles

Neural Comput., 2018

Verification of Recurrent Neural Networks Through Rule Extraction.

Qinglong Wang, Kaixuan Zhang, Xue Liu, C. Lee Giles

CoRR, 2018

A Comparison of Rule Extraction for Different Recurrent Neural Network Models and Grammatical Complexity.

Qinglong Wang, Kaixuan Zhang, Alexander G. Ororbia II, Xinyu Xing, Xue Liu, C. Lee Giles

CoRR, 2018

Defending Against Adversarial Samples Without Security through Obscurity.

Wenbo Guo, Qinglong Wang, Kaixuan Zhang, Alexander G. Ororbia II, Sui Huang, Xue Liu, C. Lee Giles, Lin Lin, Xinyu Xing

Proceedings of the IEEE International Conference on Data Mining, 2018

Point-of-Interest Recommendation: Exploiting Self-Attentive Autoencoders with Neighbor-Aware Influence.

Chen Ma, Yingxue Zhang, Qinglong Wang, Xue Liu

Proceedings of the 27th ACM International Conference on Information and Knowledge Management, 2018

2017

An Empirical Evaluation of Recurrent Neural Network Rule Extraction.

Qinglong Wang, Kaixuan Zhang, Alexander G. Ororbia II, Xinyu Xing, Xue Liu, C. Lee Giles

CoRR, 2017

Drone privacy shield: A WiFi based defense.

Andy Sun, Wei Gong, Ryan Shea, Jiangchuan Liu, Xue (Steve) Liu, Qinglong Wang

Proceedings of the 28th IEEE Annual International Symposium on Personal, 2017

Adversary Resistant Deep Neural Networks with an Application to Malware Detection.

Qinglong Wang, Wenbo Guo, Kaixuan Zhang, Alexander G. Ororbia II, Xinyu Xing, Xue Liu, C. Lee Giles

Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Halifax, NS, Canada, August 13, 2017

2016

Random Feature Nullification for Adversary Resistant Deep Architecture.

Qinglong Wang, Wenbo Guo, Kaixuan Zhang, Xinyu Xing, C. Lee Giles, Xue Liu

CoRR, 2016

Learning Adversary-Resistant Deep Neural Networks.

Qinglong Wang, Wenbo Guo, Kaixuan Zhang, Alexander G. Ororbia II, Xinyu Xing, C. Lee Giles, Xue Liu

CoRR, 2016

Using Non-invertible Data Transformations to Build Adversary-Resistant Deep Neural Networks.

Qinglong Wang, Wenbo Guo, Alexander G. Ororbia II, Xinyu Xing, Lin Lin, C. Lee Giles, Xue Liu, Peng Liu, Gang Xiong

CoRR, 2016

Smart Charging for Electric Vehicles: A Survey From the Algorithmic Perspective.

Qinglong Wang, Xue Liu, Jian Du, Fanxin Kong

IEEE Commun. Surv. Tutorials, 2016

Smart Rate Control and Demand Balancing for Electric Vehicle Charging.

Fanxin Kong, Xue Liu, Zhonghao Sun, Qinglong Wang

Proceedings of the 7th ACM/IEEE International Conference on Cyber-Physical Systems, 2016