{"total":27,"rows":[{"id":"2112.00463","title":"The Norm Must Go On: Dynamic Unsupervised Domain Adaptation by Normalization","created":"2021-12-01","cited_by_count":131,"area":null},{"id":"2110.13100","title":"Parameter Prediction for Unseen Deep Architectures","created":"2021-10-25","cited_by_count":89,"area":null},{"id":"2111.01124","title":"When Does Contrastive Learning Preserve Adversarial Robustness from Pretraining to Finetuning?","created":"2021-11-01","cited_by_count":77,"area":null},{"id":"2103.08307","title":"Improving Adversarial Robustness via Channel-wise Activation Suppressing","created":"2021-03-11","cited_by_count":76,"area":null},{"id":"2106.05956","title":"Beyond BatchNorm: Towards a Unified Understanding of Normalization in Deep Learning","created":"2021-06-10","cited_by_count":25,"area":null},{"id":"2207.01156","title":"Removing Batch Normalization Boosts Adversarial Training","created":"2022-07-04","cited_by_count":24,"area":null},{"id":"2103.02695","title":"Shift Invariance Can Reduce Adversarial Robustness","created":"2021-03-03","cited_by_count":16,"area":null},{"id":"2303.13846","title":"Feature Separation and Recalibration for Adversarial Robustness","created":"2023-03-24","cited_by_count":16,"area":null},{"id":"2106.03743","title":"Proxy-Normalizing Activations to Match Batch Normalization while Removing Batch Dependence","created":"2021-06-07","cited_by_count":12,"area":null},{"id":"2404.10966","title":"Domain-Specific Block Selection and Paired-View Pseudo-Labeling for Online Test-Time Adaptation","created":"2024-04-17","cited_by_count":8,"area":null},{"id":"2402.16017","title":"Spectrum Extraction and Clipping for Implicitly Linear Layers","created":"2024-02-25","cited_by_count":7,"area":null},{"id":"2104.08323","title":"Random and Adversarial Bit Error Robustness: Energy-Efficient and Secure DNN Accelerators","created":"2021-04-16","cited_by_count":6,"area":null},{"id":"2102.08868","title":"Bridging the Gap Between Adversarial Robustness and Optimization Bias","created":"2021-02-17","cited_by_count":5,"area":null},{"id":"2108.01110","title":"Batch Normalization Preconditioning for Neural Network Training","created":"2021-08-02","cited_by_count":5,"area":null},{"id":"2211.11835","title":"Fairness Increases Adversarial Vulnerability","created":"2022-11-21","cited_by_count":5,"area":null},{"id":"2204.12393","title":"On Fragile Features and Batch Normalization in Adversarial Training","created":"2022-04-26","cited_by_count":4,"area":null},{"id":"2111.12922","title":"Clustering Effect of (Linearized) Adversarial Robust Models","created":"2021-11-25","cited_by_count":3,"area":null},{"id":"2205.15146","title":"Batch Normalization Is Blind to the First and Second Derivatives of the Loss","created":"2022-05-30","cited_by_count":3,"area":null},{"id":"2411.00839","title":"CausAdv: A Causal-based Framework for Detecting Adversarial Examples","created":"2024-10-29","cited_by_count":2,"area":null},{"id":"2510.03224","title":"Test-Time Defense Against Adversarial Attacks via Stochastic Resonance of Latent Ensembles","created":"2025-10-03","cited_by_count":2,"area":null},{"id":"2405.20672","title":"Investigating and unmasking feature-level vulnerabilities of CNNs to adversarial perturbations","created":"2024-05-31","cited_by_count":1,"area":null},{"id":"2605.24420","title":"Batch Normalization Amplifies Memorization and Privacy Risks","created":"2026-05-23","cited_by_count":1,"area":null},{"id":"2107.02052","title":"Dealing with Adversarial Player Strategies in the Neural Network Game iNNk through Ensemble Learning","created":"2021-07-05","cited_by_count":0,"area":null},{"id":"2207.01548","title":"Counterbalancing Teacher: Regularizing Batch Normalized Models for Robustness","created":"2022-07-04","cited_by_count":0,"area":null},{"id":"2211.15071","title":"Pitfalls of Conditional Batch Normalization for Contextual Multi-Modal Learning","created":"2022-11-28","cited_by_count":0,"area":null},{"id":"2509.16833","title":"SOLAR: Switchable Output Layer for Accuracy and Robustness in Once-for-All Training","created":"2025-09-20","cited_by_count":0,"area":null},{"id":"2606.31110","title":"Explaining Machine Learning and Memorization with Statistical Mechanics","created":"2026-06-30","cited_by_count":0,"area":null}],"next_cursor":null}