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Private Image Reconstruction from System Side Channels Using Generative Models.

, , and . ICLR, OpenReview.net, (2021)

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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)Private Image Reconstruction from System Side Channels Using Generative Models., , and . ICLR, OpenReview.net, (2021)Unveiling Hidden DNN Defects with Decision-Based Metamorphic Testing., , and . ASE, page 113:1-113:13. ACM, (2022)SoK: Demystifying Binary Lifters Through the Lens of Downstream Applications., , , and . SP, page 1100-1119. IEEE, (2022)How do LLMs Support Deep Learning Testing? A Comprehensive Study Through the Lens of Image Mutation., , , , , , and . CoRR, (2024)Provably Valid and Diverse Mutations of Real-World Media Data for DNN Testing., , and . IEEE Trans. Software Eng., 50 (5): 1040-1064 (May 2024)Metamorphic Testing of Deep Learning Compilers., , , , and . SIGMETRICS (Abstracts), page 65-66. ACM, (2022)Decompiling x86 Deep Neural Network Executables., , , , and . USENIX Security Symposium, page 7357-7374. USENIX Association, (2023)CacheQL: Quantifying and Localizing Cache Side-Channel Vulnerabilities in Production Software., , and . USENIX Security Symposium, page 2009-2026. USENIX Association, (2023)CC: Causality-Aware Coverage Criterion for Deep Neural Networks., , , and . ICSE, page 1788-1800. IEEE, (2023)