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Going Beyond Familiar Features for Deep Anomaly Detection., and . CoRR, (2023)Optimising for Interpretability: Convolutional Dynamic Alignment Networks., , and . IEEE Trans. Pattern Anal. Mach. Intell., 45 (6): 7625-7638 (June 2023)Client-specific Property Inference against Secure Aggregation in Federated Learning., , and . WPES@CCS, page 45-60. ACM, (2023)UnGANable: Defending Against GAN-based Face Manipulation., , , , , and . USENIX Security Symposium, page 7213-7230. USENIX Association, (2023)Adversarial Watermarking Transformer: Towards Tracing Text Provenance with Data Hiding., and . SP, page 121-140. IEEE, (2021)Beyond the Spectrum: Detecting Deepfakes via Re-Synthesis., , , and . IJCAI, page 2534-2541. ijcai.org, (2021)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)Convolutional Dynamic Alignment Networks for Interpretable Classifications., , and . CVPR, page 10029-10038. Computer Vision Foundation / IEEE, (2021)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)MLCapsule: Guarded Offline Deployment of Machine Learning as a Service., , , , , , and . CVPR Workshops, page 3300-3309. Computer Vision Foundation / IEEE, (2021)