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

, , and . IEEE Trans. Software Eng., 50 (5): 1040-1064 (May 2024)

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Perception Matters: Detecting Perception Failures of VQA Models Using Metamorphic Testing., , , and . CVPR, page 16908-16917. Computer Vision Foundation / IEEE, (2021)Unveiling Hidden DNN Defects with Decision-Based Metamorphic Testing., , and . ASE, page 113:1-113:13. ACM, (2022)Private Image Reconstruction from System Side Channels Using Generative Models., , and . ICLR, OpenReview.net, (2021)Provably Valid and Diverse Mutations of Real-World Media Data for DNN Testing., , and . IEEE Trans. Software Eng., 50 (5): 1040-1064 (May 2024)How do LLMs Support Deep Learning Testing? A Comprehensive Study Through the Lens of Image Mutation., , , , , , and . CoRR, (2024)SoK: Demystifying Binary Lifters Through the Lens of Downstream Applications., , , and . SP, page 1100-1119. IEEE, (2022)Precise and Generalized Robustness Certification for Neural Networks., , and . USENIX Security Symposium, page 4769-4786. USENIX Association, (2023)MDPFuzz: testing models solving Markov decision processes., , and . ISSTA, page 378-390. ACM, (2022)Revisiting Neuron Coverage for DNN Testing: A Layer-Wise and Distribution-Aware Criterion., , and . ICSE, page 1200-1212. IEEE, (2023)OBSan: An Out-Of-Bound Sanitizer to Harden DNN Executables., , and . NDSS, The Internet Society, (2023)