conftrace_

decision boundary

161 papers

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Co-occurring keywords

adversarial robustness (1341) adversarial attack (1621) deep neural network (1803) neural network (6616) image classification (1944) adversarial training (1262) adversarial example (564) representation learning (6206) out-of-distribution detection (617) knowledge distillation (3725)

Papers

Delving into Data: Effectively Substitute Training for Black-box Attack CVPR 2021
Hidden Cost of Randomized Smoothing AISTATS 2021
Zero-Shot Knowledge Distillation from a Decision-Based Black-Box Model ICML 2021
MOS: Towards Scaling Out-of-Distribution Detection for Large Semantic Space CVPR 2021
On the Difficulty of Membership Inference Attacks CVPR 2021
Detecting Adversarial Examples from Sensitivity Inconsistency of Spatial-Transform Domain AAAI 2021
User Driven Model Adjustment via Boolean Rule Explanations AAAI 2021
Influence-Balanced Loss for Imbalanced Visual Classification ICCV 2021
Training for the Future: A Simple Gradient Interpolation Loss to Generalize Along Time NIPS 2021
Shift Invariance Can Reduce Adversarial Robustness NIPS 2021
Robust Counterfactual Explanations on Graph Neural Networks NIPS 2021
On the Expected Complexity of Maxout Networks NIPS 2021
Finding Optimal Tangent Points for Reducing Distortions of Hard-label Attacks NIPS 2021
Probabilistic Margins for Instance Reweighting in Adversarial Training NIPS 2021
Understanding Catastrophic Overfitting in Single-step Adversarial Training AAAI 2021
Spurious Correlations in Cross-Topic Argument Mining ACL 2021
Fast Minimum-norm Adversarial Attacks through Adaptive Norm Constraints NIPS 2021
Embed Me if You Can: A Geometric Perceptron ICCV 2021
Query Complexity of Adversarial Attacks ICML 2021
GeoDA: A Geometric Framework for Black-Box Adversarial Attacks CVPR 2020
Towards Understanding the Regularization of Adversarial Robustness on Neural Networks ICML 2020
Evaluating Models’ Local Decision Boundaries via Contrast Sets EMNLP 2020
DeepView: Visualizing Classification Boundaries of Deep Neural Networks as Scatter Plots Using Discriminative Dimensionality Reduction IJCAI 2020
Learning from Few Positives: a Provably Accurate Metric Learning Algorithm to Deal with Imbalanced Data IJCAI 2020
Differentially Private and Fair Classification via Calibrated Functional Mechanism AAAI 2020