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To what extent do DNN-based image classification models make unreliable inferences?

, , , , , and . Empir. Softw. Eng., 26 (4): 84 (2021)

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Deep Learning Backdoors., , , and . Security and Artificial Intelligence, (2022)BadNL: Backdoor Attacks Against NLP Models., , , , and . CoRR, (2020)Complex Backdoor Detection by Symmetric Feature Differencing., , , , , and . CVPR, page 14983-14993. IEEE, (2022)ABS: Scanning Neural Networks for Back-doors by Artificial Brain Stimulation., , , , , and . CCS, page 1265-1282. ACM, (2019)Training with More Confidence: Mitigating Injected and Natural Backdoors During Training., , , and . NeurIPS, (2022)ELISE: A Storage Efficient Logging System Powered by Redundancy Reduction and Representation Learning., , , and . USENIX Security Symposium, page 3023-3040. USENIX Association, (2021)The Case for Learned Provenance Graph Storage Systems., , , and . USENIX Security Symposium, page 3277-3294. USENIX Association, (2023)Get Your Cyber-Physical Tests Done! Data-Driven Vulnerability Assessment of Robotic Aerial Vehicles., , , , , and . DSN, page 67-80. IEEE, (2023)KENKU: Towards Efficient and Stealthy Black-box Adversarial Attacks against ASR Systems., , , , , , and . USENIX Security Symposium, page 247-264. USENIX Association, (2023)autoMPI: Automated Multiple Perspective Attack Investigation With Semantics Aware Execution Partitioning., , , , , , and . IEEE Trans. Software Eng., 49 (4): 2761-2775 (April 2023)