Yuanyuan Yuan

According to our database, Yuanyuan Yuan authored at least 29 papers between 2021 and 2024.

Collaborative distances:

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

2024

Provably Valid and Diverse Mutations of Real-World Media Data for DNN Testing.

Yuanyuan Yuan, Qi Pang, Shuai Wang

IEEE Trans. Software Eng., May, 2024

How do LLMs Support Deep Learning Testing? A Comprehensive Study Through the Lens of Image Mutation.

Liwen Wang, Yuanyuan Yuan, Ao Sun, Zongjie Li, Pingchuan Ma, Daoyuan Wu, Shuai Wang

CoRR, 2024

Eliminating Information Leakage in Hard Concept Bottleneck Models with Supervised, Hierarchical Concept Learning.

Ao Sun, Yuanyuan Yuan, Pingchuan Ma, Shuai Wang

CoRR, 2024

No Privacy Left Outside: On the (In-)Security of TEE-Shielded DNN Partition for On-Device ML.

Ziqi Zhang, Chen Gong, Yifeng Cai, Yuanyuan Yuan, Bingyan Liu, Ding Li, Yao Guo, Xiangqun Chen

Proceedings of the IEEE Symposium on Security and Privacy, 2024

MPCDiff: Testing and Repairing MPC-Hardened Deep Learning Models.

Qi Pang, Yuanyuan Yuan, Shuai Wang

Proceedings of the 31st Annual Network and Distributed System Security Symposium, 2024

See the Forest, not Trees: Unveiling and Escaping the Pitfalls of Error-Triggering Inputs in Neural Network Testing.

Yuanyuan Yuan, Shuai Wang, Zhendong Su

Proceedings of the 33rd ACM SIGSOFT International Symposium on Software Testing and Analysis, 2024

2023

Effects of Production-Living-Ecological Space Patterns Changes on Land Surface Temperature.

Han Liu, Ling Qin, Menggang Xing, Haiming Yan, Guofei Shang, Yuanyuan Yuan

Remote. Sens., July, 2023

Enhancing DNN-Based Binary Code Function Search With Low-Cost Equivalence Checking.

Huaijin Wang, Pingchuan Ma, Yuanyuan Yuan, Zhibo Liu, Shuai Wang, Qiyi Tang, Sen Nie, Shi Wu

IEEE Trans. Software Eng., 2023

Unveiling Single-Bit-Flip Attacks on DNN Executables.

Yanzuo Chen, Zhibo Liu, Yuanyuan Yuan, Sihang Hu, Tianxiang Li, Shuai Wang

CoRR, 2023

CacheQL: Quantifying and Localizing Cache Side-Channel Vulnerabilities in Production Software.

Yuanyuan Yuan, Zhibo Liu, Shuai Wang

Proceedings of the 32nd USENIX Security Symposium, 2023

Precise and Generalized Robustness Certification for Neural Networks.

Yuanyuan Yuan, Shuai Wang, Zhendong Su

Proceedings of the 32nd USENIX Security Symposium, 2023

Decompiling x86 Deep Neural Network Executables.

Zhibo Liu, Yuanyuan Yuan, Shuai Wang, Xiaofei Xie, Lei Ma

Proceedings of the 32nd USENIX Security Symposium, 2023

Explain Any Concept: Segment Anything Meets Concept-Based Explanation.

Ao Sun, Pingchuan Ma, Yuanyuan Yuan, Shuai Wang

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

OBSan: An Out-Of-Bound Sanitizer to Harden DNN Executables.

Yanzuo Chen, Yuanyuan Yuan, Shuai Wang

Proceedings of the 30th Annual Network and Distributed System Security Symposium, 2023

Revisiting Neuron Coverage for DNN Testing: A Layer-Wise and Distribution-Aware Criterion.

Yuanyuan Yuan, Qi Pang, Shuai Wang

Proceedings of the 45th IEEE/ACM International Conference on Software Engineering, 2023

CC: Causality-Aware Coverage Criterion for Deep Neural Networks.

Zhenlan Ji, Pingchuan Ma, Yuanyuan Yuan, Shuai Wang

Proceedings of the 45th IEEE/ACM International Conference on Software Engineering, 2023

2022

NeuralD: Detecting Indistinguishability Violations of Oblivious RAM With Neural Distinguishers.

Pingchuan Ma, Zhibo Liu, Yuanyuan Yuan, Shuai Wang

IEEE Trans. Inf. Forensics Secur., 2022

Metamorphic Testing of Deep Learning Compilers.

Dongwei Xiao, Zhibo Liu, Yuanyuan Yuan, Qi Pang, Shuai Wang

Proc. ACM Meas. Anal. Comput. Syst., 2022

Transition of Chimera States and Synchronization in Two-Layer Networks of Coupled Hindmarsh-Rose Neurons.

Yuanyuan Yuan, Fang Han, Qinghua Zhu, Wenlian Lu

Int. J. Bifurc. Chaos, 2022

ADI: Adversarial Dominating Inputs in Vertical Federated Learning Systems.

Qi Pang, Yuanyuan Yuan, Shuai Wang, Wenting Zheng

CoRR, 2022

Automated Side Channel Analysis of Media Software with Manifold Learning.

Yuanyuan Yuan, Qi Pang, Shuai Wang

Proceedings of the 31st USENIX Security Symposium, 2022

SoK: Demystifying Binary Lifters Through the Lens of Downstream Applications.

Zhibo Liu, Yuanyuan Yuan, Shuai Wang, Yuyan Bao

Proceedings of the 43rd IEEE Symposium on Security and Privacy, 2022

Unveiling Hidden DNN Defects with Decision-Based Metamorphic Testing.

Yuanyuan Yuan, Qi Pang, Shuai Wang

Proceedings of the 37th IEEE/ACM International Conference on Automated Software Engineering, 2022

MDPFuzz: testing models solving Markov decision processes.

Qi Pang, Yuanyuan Yuan, Shuai Wang

Proceedings of the ISSTA '22: 31st ACM SIGSOFT International Symposium on Software Testing and Analysis, Virtual Event, South Korea, July 18, 2022

2021

MDPFuzzer: Finding Crash-Triggering State Sequences in Models Solving the Markov Decision Process.

Qi Pang, Yuanyuan Yuan, Shuai Wang

CoRR, 2021

Enhancing Deep Neural Networks Testing by Traversing Data Manifold.

Yuanyuan Yuan, Qi Pang, Shuai Wang

CoRR, 2021

You Can't See the Forest for Its Trees: Assessing Deep Neural Network Testing via NeuraL Coverage.

Yuanyuan Yuan, Qi Pang, Shuai Wang

CoRR, 2021

Private Image Reconstruction from System Side Channels Using Generative Models.

Yuanyuan Yuan, Shuai Wang, Junping Zhang

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

Perception Matters: Detecting Perception Failures of VQA Models Using Metamorphic Testing.

Yuanyuan Yuan, Shuai Wang, Mingyue Jiang, Tsong Yueh Chen

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021