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(2020) VisualPhishNet: Zero-Day Phishing Website Detection by Visual Similarity.
(2020) Towards Causal VQA: Revealing and Reducing Spurious Correlations by Invariant and Covariant Semantic Editing.
(2020) Normalizing Flows with Multi-scale Autoregressive Priors.
(2020) Haar Wavelet based Block Autoregressive Flows for Trajectories.
(2020) GS-WGAN: A Gradient-Sanitized Approach for Learning Differentially Private Generators.
(2020) GAN-Leaks: A Taxonomy of Membership Inference Attacks against Generative Models.
(2020) SampleFix: Learning to Correct Programs by Sampling Diverse Fixes.
(2020) IReEn: Iterative Reverse-Engineering of Black-Box Functions via Neural Program Synthesis.
(2020) Automatically Detecting Bystanders in Photos to Reduce Privacy Risks.
(2020) Segmentations-Leak: Membership Inference Attacks and Defenses in Semantic Image Segmentation.
(2020) Synthetic Convolutional Features for Improved Semantic Segmentation.
(2020) Semantic Bottlenecks: Quantifying and Improving Inspectability of Deep Representations.
(2020) Person Recognition in Personal Photo Collections.
(2020) Prediction Poisoning: Towards Defenses Against DNN Model Stealing Attacks.
(2020) Prediction Poisoning: Utility-Constrained Defenses Against Model Stealing Attacks.
(2020) Updates-Leak: Data Set Inference and Reconstruction Attacks in Online Learning.
(2020) Body Shape Privacy in Images: Understanding Privacy and Preventing Automatic Shape Extraction.
(2020) Deep gaze pooling: Inferring and visually decoding search intents from human gaze fixations.
(2020) Long-Tailed Recognition Using Class-Balanced Experts.
(2020) Towards Automated Testing and Robustification by Semantic Adversarial Data Generation.
(2020) Inclusive GAN: Improving Data and Minority Coverage in Generative Models.
(2020) Artificial Fingerprinting for Generative Models: Rooting Deepfake Attribution in Training Data.