| Robust Mixture-of-Expert Training for Convolutional Neural Networks | Aug 19, 2023 | Adversarial Robustness | CodeCode Available | 1 |
| Causal Adversarial Perturbations for Individual Fairness and Robustness in Heterogeneous Data Spaces | Aug 17, 2023 | Adversarial RobustnessFairness | —Unverified | 0 |
| Expressivity of Graph Neural Networks Through the Lens of Adversarial Robustness | Aug 16, 2023 | Adversarial RobustnessSubgraph Counting | CodeCode Available | 0 |
| Benchmarking Adversarial Robustness of Compressed Deep Learning Models | Aug 16, 2023 | Adversarial RobustnessBenchmarking | —Unverified | 0 |
| Enhancing the Antidote: Improved Pointwise Certifications against Poisoning Attacks | Aug 15, 2023 | Adversarial Robustness | —Unverified | 0 |
| A Survey on Deep Neural Network Pruning-Taxonomy, Comparison, Analysis, and Recommendations | Aug 13, 2023 | Adversarial RobustnessNetwork Pruning | CodeCode Available | 2 |
| On the Interplay of Convolutional Padding and Adversarial Robustness | Aug 12, 2023 | Adversarial Robustness | CodeCode Available | 0 |
| Large Language Models to Identify Social Determinants of Health in Electronic Health Records | Aug 11, 2023 | Adversarial RobustnessEthics | CodeCode Available | 1 |
| TrajPAC: Towards Robustness Verification of Pedestrian Trajectory Prediction Models | Aug 11, 2023 | Adversarial RobustnessAutonomous Vehicles | CodeCode Available | 1 |
| ModSec-AdvLearn: Countering Adversarial SQL Injections with Robust Machine Learning | Aug 9, 2023 | Adversarial Robustness | CodeCode Available | 0 |
| Enhancing Adversarial Robustness in Low-Label Regime via Adaptively Weighted Regularization and Knowledge Distillation | Aug 8, 2023 | Adversarial RobustnessKnowledge Distillation | CodeCode Available | 0 |
| Improving Performance of Semi-Supervised Learning by Adversarial Attacks | Aug 8, 2023 | Adversarial Robustnessimage-classification | —Unverified | 0 |
| Fixed Inter-Neuron Covariability Induces Adversarial Robustness | Aug 7, 2023 | Adversarial Robustness | —Unverified | 0 |
| Exploring the Physical World Adversarial Robustness of Vehicle Detection | Aug 7, 2023 | Adversarial AttackAdversarial Robustness | —Unverified | 0 |
| Unsupervised Adversarial Detection without Extra Model: Training Loss Should Change | Aug 7, 2023 | Adversarial Robustness | CodeCode Available | 0 |
| RobustMQ: Benchmarking Robustness of Quantized Models | Aug 4, 2023 | Adversarial RobustnessBenchmarking | —Unverified | 0 |
| Improving Generalization of Adversarial Training via Robust Critical Fine-Tuning | Aug 1, 2023 | Adversarial Robustness | —Unverified | 0 |
| Robust Linear Regression: Phase-Transitions and Precise Tradeoffs for General Norms | Aug 1, 2023 | Adversarial Robustnessregression | —Unverified | 0 |
| Beyond One-Hot-Encoding: Injecting Semantics to Drive Image Classifiers | Aug 1, 2023 | Adversarial Robustnessimage-classification | CodeCode Available | 0 |
| Dynamic ensemble selection based on Deep Neural Network Uncertainty Estimation for Adversarial Robustness | Aug 1, 2023 | Adversarial AttackAdversarial Robustness | —Unverified | 0 |
| Benchmarking and Analyzing Robust Point Cloud Recognition: Bag of Tricks for Defending Adversarial Examples | Jul 31, 2023 | Adversarial RobustnessBenchmarking | CodeCode Available | 1 |
| Towards Trustworthy and Aligned Machine Learning: A Data-centric Survey with Causality Perspectives | Jul 31, 2023 | Adversarial RobustnessFairness | —Unverified | 0 |
| Characterizing Data Point Vulnerability via Average-Case Robustness | Jul 26, 2023 | Adversarial RobustnessMulti-class Classification | CodeCode Available | 0 |
| Exploring the Sharpened Cosine Similarity | Jul 25, 2023 | Adversarial Robustnessimage-classification | —Unverified | 0 |
| On the unreasonable vulnerability of transformers for image restoration -- and an easy fix | Jul 25, 2023 | Adversarial AttackAdversarial Robustness | —Unverified | 0 |
| Homophily-Driven Sanitation View for Robust Graph Contrastive Learning | Jul 24, 2023 | Adversarial RobustnessContrastive Learning | —Unverified | 0 |
| HybridAugment++: Unified Frequency Spectra Perturbations for Model Robustness | Jul 21, 2023 | Adversarial RobustnessData Augmentation | CodeCode Available | 1 |
| A Holistic Assessment of the Reliability of Machine Learning Systems | Jul 20, 2023 | Adversarial RobustnessOut-of-Distribution Detection | —Unverified | 0 |
| Omnipotent Adversarial Training in the Wild | Jul 14, 2023 | Adversarial Robustness | CodeCode Available | 0 |
| Mitigating Adversarial Vulnerability through Causal Parameter Estimation by Adversarial Double Machine Learning | Jul 14, 2023 | Adversarial Robustnessparameter estimation | CodeCode Available | 1 |
| Min-Max Optimization under Delays | Jul 13, 2023 | Adversarial RobustnessStochastic Optimization | —Unverified | 0 |
| Function-Space Regularization for Deep Bayesian Classification | Jul 12, 2023 | Adversarial RobustnessClassification | —Unverified | 0 |
| Enhancing Adversarial Robustness via Score-Based Optimization | Jul 10, 2023 | Adversarial DefenseAdversarial Robustness | CodeCode Available | 1 |
| A unifying framework for differentially private quantum algorithms | Jul 10, 2023 | Adversarial Robustness | —Unverified | 0 |
| A Theoretical Perspective on Subnetwork Contributions to Adversarial Robustness | Jul 7, 2023 | Adversarial Robustness | —Unverified | 0 |
| Transgressing the boundaries: towards a rigorous understanding of deep learning and its (non-)robustness | Jul 5, 2023 | Adversarial RobustnessLearning Theory | —Unverified | 0 |
| Kernels, Data & Physics | Jul 5, 2023 | Adversarial RobustnessInductive Bias | —Unverified | 0 |
| On the Adversarial Robustness of Generative Autoencoders in the Latent Space | Jul 5, 2023 | Adversarial Robustnesscompressed sensing | —Unverified | 0 |
| The Importance of Robust Features in Mitigating Catastrophic Forgetting | Jun 29, 2023 | Adversarial RobustnessContinual Learning | —Unverified | 0 |
| Mitigating Accuracy-Robustness Trade-off via Balanced Multi-Teacher Adversarial Distillation | Jun 28, 2023 | Adversarial RobustnessKnowledge Distillation | CodeCode Available | 1 |
| A Survey on Out-of-Distribution Evaluation of Neural NLP Models | Jun 27, 2023 | Adversarial RobustnessDomain Generalization | —Unverified | 0 |
| Advancing Adversarial Training by Injecting Booster Signal | Jun 27, 2023 | Adversarial Robustness | —Unverified | 0 |
| Robust Proxy: Improving Adversarial Robustness by Robust Proxy Learning | Jun 27, 2023 | Adversarial Robustness | —Unverified | 0 |
| Computational Asymmetries in Robust Classification | Jun 25, 2023 | Adversarial RobustnessClassification | CodeCode Available | 0 |
| Robust Spatiotemporal Traffic Forecasting with Reinforced Dynamic Adversarial Training | Jun 25, 2023 | Adversarial RobustnessKnowledge Distillation | CodeCode Available | 1 |
| A Spectral Perspective towards Understanding and Improving Adversarial Robustness | Jun 25, 2023 | Adversarial Robustness | —Unverified | 0 |
| On Evaluating the Adversarial Robustness of Semantic Segmentation Models | Jun 25, 2023 | Adversarial Robustnessimage-classification | —Unverified | 0 |
| Enhancing Adversarial Training via Reweighting Optimization Trajectory | Jun 25, 2023 | Adversarial Robustness | CodeCode Available | 0 |
| Similarity Preserving Adversarial Graph Contrastive Learning | Jun 24, 2023 | Adversarial RobustnessContrastive Learning | CodeCode Available | 1 |
| Adversarial Robustness Certification for Bayesian Neural Networks | Jun 23, 2023 | Adversarial RobustnessCollision Avoidance | CodeCode Available | 0 |
