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ML-Leaks: Model and Data Independent Membership Inference Attacks and Defenses on Machine Learning Models.

, , , , , and . NDSS, The Internet Society, (2019)

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InfoScrub: Towards Attribute Privacy by Targeted Obfuscation., , and . CoRR, (2020)Segmentations-Leak: Membership Inference Attacks and Defenses in Semantic Image Segmentation., , , and . ECCV (23), volume 12368 of Lecture Notes in Computer Science, page 519-535. Springer, (2020)Deep gaze pooling: Inferring and visually decoding search intents from human gaze fixations., , and . Neurocomputing, (2020)Going Beyond Familiar Features for Deep Anomaly Detection., and . CoRR, (2023)Open-Domain, Content-based, Multi-modal Fact-checking of Out-of-Context Images via Online Resources., , and . CoRR, (2021)From Bad to Worse: Using Private Data to Propagate Disinformation on Online Platforms with a Greater Efficiency., , , , , and . CoRR, (2023)SimSCOOD: Systematic Analysis of Out-of-Distribution Behavior of Source Code Models., , , and . CoRR, (2022)Optimising for Interpretability: Convolutional Dynamic Alignment Networks., , and . IEEE Trans. Pattern Anal. Mach. Intell., 45 (6): 7625-7638 (June 2023)Person Recognition in Personal Photo Collections., , , and . IEEE Trans. Pattern Anal. Mach. Intell., 42 (1): 203-220 (2020)MargCTGAN: A "Marginally" Better CTGAN for the Low Sample Regime., , and . DAGM, volume 14264 of Lecture Notes in Computer Science, page 524-537. Springer, (2023)