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conftrace_

adversarial perturbation

461 papers

Papers

Label-Only Membership Inference Attacks ICML 2021 Learning to Attack Real-World Models for Person Re-identification via Virtual-Guided Meta-Learning AAAI 2021 Learning to Generate Noise for Multi-Attack Robustness ICML 2021 Learning Transferable Adversarial Perturbations NeurIPS 2021 Local Aggressive Adversarial Attacks on 3D Point Cloud ACML 2021 LowKey: Leveraging Adversarial Attacks to Protect Social Media Users from Facial Recognition ICLR 2021 Measuring Robustness in Deep Learning Based Compressive Sensing ICML 2021 Multi-Expert Adversarial Attack Detection in Person Re-Identification Using Context Inconsistency ICCV 2021 Neural Population Geometry Reveals the Role of Stochasticity in Robust Perception NeurIPS 2021 On Generating Transferable Targeted Perturbations ICCV 2021 On Success and Simplicity: A Second Look at Transferable Targeted Attacks NeurIPS 2021 Perceptual Indistinguishability-Net (PI-Net): Facial Image Obfuscation With Manipulable Semantics CVPR 2021 Perturbing Inputs for Fragile Interpretations in Deep Natural Language Processing EMNLP 2021 Progressive-Scale Boundary Blackbox Attack via Projective Gradient Estimation ICML 2021 Reinforced Counterfactual Data Augmentation for Dual Sentiment Classification EMNLP 2021 Rethinking Perturbations in Encoder-Decoders for Fast Training NAACL 2021 Robust Deep Reinforcement Learning through Adversarial Loss NeurIPS 2021 Robust Online Correlation Clustering NeurIPS 2021 Robust Value Iteration for Continuous Control Tasks RSS 2021 SecDD: Efficient and Secure Method for Remotely Training Neural Networks (Student Abstract) AAAI 2021 Semantic Perturbations With Normalizing Flows for Improved Generalization ICCV 2021 SmoothMix: Training Confidence-calibrated Smoothed Classifiers for Certified Robustness NeurIPS 2021 Stabilized Medical Image Attacks ICLR 2021 Stereopagnosia: Fooling Stereo Networks with Adversarial Perturbations AAAI 2021 Tightening Robustness Verification of Convolutional Neural Networks with Fine-Grained Linear Approximation AAAI 2021