Yuanyuan Yuan

Orcid: 0000-0002-3053-8923

According to our database1, Yuanyuan Yuan authored at least 26 papers between 2021 and 2024.

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Bibliography

2024
Eliminating Information Leakage in Hard Concept Bottleneck Models with Supervised, Hierarchical Concept Learning.
CoRR, 2024

2023
Effects of Production-Living-Ecological Space Patterns Changes on Land Surface Temperature.
Remote. Sens., July, 2023

Enhancing DNN-Based Binary Code Function Search With Low-Cost Equivalence Checking.
IEEE Trans. Software Eng., 2023

No Privacy Left Outside: On the (In-)Security of TEE-Shielded DNN Partition for On-Device ML.
CoRR, 2023

Unveiling Single-Bit-Flip Attacks on DNN Executables.
CoRR, 2023

Explain Any Concept: Segment Anything Meets Concept-Based Explanation.
CoRR, 2023

CacheQL: Quantifying and Localizing Cache Side-Channel Vulnerabilities in Production Software.
Proceedings of the 32nd USENIX Security Symposium, 2023

Precise and Generalized Robustness Certification for Neural Networks.
Proceedings of the 32nd USENIX Security Symposium, 2023

Decompiling x86 Deep Neural Network Executables.
Proceedings of the 32nd USENIX Security Symposium, 2023

Explain Any Concept: Segment Anything Meets Concept-Based Explanation.
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.
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.
Proceedings of the 45th IEEE/ACM International Conference on Software Engineering, 2023

CC: Causality-Aware Coverage Criterion for Deep Neural Networks.
Proceedings of the 45th IEEE/ACM International Conference on Software Engineering, 2023

2022
NeuralD: Detecting Indistinguishability Violations of Oblivious RAM With Neural Distinguishers.
IEEE Trans. Inf. Forensics Secur., 2022

Metamorphic Testing of Deep Learning Compilers.
Proc. ACM Meas. Anal. Comput. Syst., 2022

Transition of Chimera States and Synchronization in Two-Layer Networks of Coupled Hindmarsh-Rose Neurons.
Int. J. Bifurc. Chaos, 2022

ADI: Adversarial Dominating Inputs in Vertical Federated Learning Systems.
CoRR, 2022

Automated Side Channel Analysis of Media Software with Manifold Learning.
Proceedings of the 31st USENIX Security Symposium, 2022

SoK: Demystifying Binary Lifters Through the Lens of Downstream Applications.
Proceedings of the 43rd IEEE Symposium on Security and Privacy, 2022

Unveiling Hidden DNN Defects with Decision-Based Metamorphic Testing.
Proceedings of the 37th IEEE/ACM International Conference on Automated Software Engineering, 2022

MDPFuzz: testing models solving Markov decision processes.
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.
CoRR, 2021

Enhancing Deep Neural Networks Testing by Traversing Data Manifold.
CoRR, 2021

You Can't See the Forest for Its Trees: Assessing Deep Neural Network Testing via NeuraL Coverage.
CoRR, 2021

Private Image Reconstruction from System Side Channels Using Generative Models.
Proceedings of the 9th International Conference on Learning Representations, 2021

Perception Matters: Detecting Perception Failures of VQA Models Using Metamorphic Testing.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021


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