Latest

• Substitutional Neural Image Compression
• Mixed Spatio-Temporal Neural Networks on Real-time Prediction of Crimes
• Intrinsic Examples: Robust Fingerprinting of Deep Neural Networks
• AdvMS: A Multi-Source Multi-Cost Defense Against Adversarial Attacks
• Block Switching: A Stochastic Approach for Deep Learning Security
• Protecting Neural Networks with Hierarchical Random Switching: Towards Better Robustness-Accuracy Trade-off for Stochastic Defenses
• Deep Learning for Minimal-context Block Tracking through Side-channel Analysis
• Defensive Dropout for Hardening Deep Neural Networks under Adversarial Attacks
• Using Deep Learning to Extract Scenery Information in Real Time Spatiotemporal Compressed Sensing
• Deep learning-based classification and anomaly detection of side-channel signals
• Domain specific inpainting with concurrently pretrained generative adversarial networks