| I Can Find You in Seconds! Leveraging Large Language Models for Code Authorship Attribution | Jan 14, 2025 | Adversarial RobustnessAttribute | —Unverified | 0 |
| IDEA: Invariant Defense for Graph Adversarial Robustness | May 25, 2023 | Adversarial Robustness | —Unverified | 0 |
| Illusory Attacks: Information-Theoretic Detectability Matters in Adversarial Attacks | Jul 20, 2022 | Adversarial AttackAdversarial Robustness | —Unverified | 0 |
| Imbalanced Gradients: A New Cause of Overestimated Adversarial Robustness | Sep 28, 2020 | Adversarial Robustness | —Unverified | 0 |
| Impact of Attention on Adversarial Robustness of Image Classification Models | Sep 2, 2021 | Adversarial RobustnessClassification | —Unverified | 0 |
| Impact of Low-bitwidth Quantization on the Adversarial Robustness for Embedded Neural Networks | Sep 27, 2019 | Adversarial RobustnessBIG-bench Machine Learning | —Unverified | 0 |
| Impact of Spatial Frequency Based Constraints on Adversarial Robustness | Apr 26, 2021 | Adversarial Robustness | —Unverified | 0 |
| Imperceptible Adversarial Attacks on Point Clouds Guided by Point-to-Surface Field | Dec 26, 2024 | Adversarial RobustnessAttribute | —Unverified | 0 |
| Implicit Euler Skip Connections: Enhancing Adversarial Robustness via Numerical Stability | Jan 1, 2020 | Adversarial AttackAdversarial Robustness | —Unverified | 0 |
| Improve Adversarial Robustness via Weight Penalization on Classification Layer | Oct 8, 2020 | Adversarial RobustnessClassification | —Unverified | 0 |
| Improved Adversarial Robustness by Reducing Open Space Risk via Tent Activations | Aug 7, 2019 | Adversarial RobustnessBIG-bench Machine Learning | —Unverified | 0 |
| Improved Adversarial Robustness via Logit Regularization Methods | Jun 10, 2019 | Adversarial DefenseAdversarial Robustness | —Unverified | 0 |
| Improved Branch and Bound for Neural Network Verification via Lagrangian Decomposition | Apr 14, 2021 | Adversarial RobustnessGPU | —Unverified | 0 |
| MadNet: Using a MAD Optimization for Defending Against Adversarial Attacks | Nov 3, 2019 | Adversarial DefenseAdversarial Robustness | —Unverified | 0 |
| Improve Generalization and Robustness of Neural Networks via Weight Scale Shifting Invariant Regularizations | Aug 7, 2020 | Adversarial Robustness | —Unverified | 0 |
| Improving Adversarial Robustness by Encouraging Discriminative Features | Nov 1, 2018 | Adversarial Robustness | —Unverified | 0 |
| Improving Adversarial Robustness by Contrastive Guided Diffusion Process | Oct 18, 2022 | Adversarial RobustnessSynthetic Data Generation | —Unverified | 0 |
| Improving Adversarial Robustness for 3D Point Cloud Recognition at Test-Time through Purified Self-Training | Sep 23, 2024 | Adversarial PurificationAdversarial Robustness | —Unverified | 0 |
| Improving Adversarial Robustness for Free with Snapshot Ensemble | Oct 7, 2021 | Adversarial Robustness | —Unverified | 0 |
| Improving Adversarial Robustness in Weight-quantized Neural Networks | Dec 29, 2020 | Adversarial RobustnessQuantization | —Unverified | 0 |
| Improving adversarial robustness of deep neural networks by using semantic information | Aug 18, 2020 | Adversarial AttackAdversarial Robustness | —Unverified | 0 |
| Improving Adversarial Robustness of Ensembles with Diversity Training | Jan 28, 2019 | Adversarial RobustnessDiversity | —Unverified | 0 |
| SAT: Improving Adversarial Training via Curriculum-Based Loss Smoothing | Mar 18, 2020 | Adversarial Robustness | —Unverified | 0 |
| Improving Adversarial Robustness to Sensitivity and Invariance Attacks with Deep Metric Learning | Nov 4, 2022 | Adversarial RobustnessMetric Learning | —Unverified | 0 |
| Improving Adversarial Robustness via Attention and Adversarial Logit Pairing | Aug 23, 2019 | Adversarial Robustness | —Unverified | 0 |
| Improving Adversarial Robustness via Unlabeled Out-of-Domain Data | Jun 15, 2020 | Adversarial RobustnessData Augmentation | —Unverified | 0 |
| Improving Adversarial Robustness via Feature Pattern Consistency Constraint | Jun 13, 2024 | Adversarial Robustnessfeature selection | —Unverified | 0 |
| Improving Adversarial Robustness via Phase and Amplitude-aware Prompting | Feb 6, 2025 | Adversarial Robustness | —Unverified | 0 |
| Improving Adversarial Robustness with Hypersphere Embedding and Angular-based Regularizations | Mar 15, 2023 | Adversarial Robustness | —Unverified | 0 |
| Improving Adversarial Transferability of Vision-Language Pre-training Models through Collaborative Multimodal Interaction | Mar 16, 2024 | Adversarial RobustnessImage-text Retrieval | —Unverified | 0 |
| Improving deep learning with prior knowledge and cognitive models: A survey on enhancing explainability, adversarial robustness and zero-shot learning | Mar 11, 2024 | Adversarial RobustnessDeep Learning | —Unverified | 0 |
| Improving Fast Adversarial Training via Self-Knowledge Guidance | Sep 26, 2024 | Adversarial RobustnessAttribute | —Unverified | 0 |
| Expressivity of Graph Neural Networks Through the Lens of Adversarial Robustness | Aug 16, 2023 | Adversarial RobustnessSubgraph Counting | CodeCode Available | 0 |
| Verifiability and Predictability: Interpreting Utilities of Network Architectures for Point Cloud Processing | Nov 20, 2019 | Adversarial Robustness | CodeCode Available | 0 |
| An Analysis of Robustness of Non-Lipschitz Networks | Oct 13, 2020 | Adversarial AttackAdversarial Defense | CodeCode Available | 0 |
| On the Privacy Effect of Data Enhancement via the Lens of Memorization | Aug 17, 2022 | Adversarial RobustnessData Augmentation | CodeCode Available | 0 |
| Towards Adversarial Robustness of Model-Level Mixture-of-Experts Architectures for Semantic Segmentation | Dec 16, 2024 | Adversarial RobustnessMixture-of-Experts | CodeCode Available | 0 |
| Carefully Blending Adversarial Training, Purification, and Aggregation Improves Adversarial Robustness | May 25, 2023 | Adversarial DefenseAdversarial Purification | CodeCode Available | 0 |
| Careful What You Wish For: on the Extraction of Adversarially Trained Models | Jul 21, 2022 | Adversarial Robustness | CodeCode Available | 0 |
| FairDeFace: Evaluating the Fairness and Adversarial Robustness of Face Obfuscation Methods | Mar 11, 2025 | Adversarial RobustnessFace Detection | CodeCode Available | 0 |
| FaiR-N: Fair and Robust Neural Networks for Structured Data | Oct 13, 2020 | Adversarial RobustnessAttribute | CodeCode Available | 0 |
| Towards adversarial robustness verification of no-reference image-and video-quality metrics | Dec 30, 2023 | Adversarial AttackAdversarial Robustness | CodeCode Available | 0 |
| On the Relationship between Skill Neurons and Robustness in Prompt Tuning | Sep 21, 2023 | Adversarial Robustness | CodeCode Available | 0 |
| Testing Robustness Against Unforeseen Adversaries | Aug 21, 2019 | Adversarial DefenseAdversarial Robustness | CodeCode Available | 0 |
| Fake It Until You Break It: On the Adversarial Robustness of AI-generated Image Detectors | Oct 2, 2024 | Adversarial RobustnessMisinformation | CodeCode Available | 0 |
| Fast Adversarial Robustness Certification of Nearest Prototype Classifiers for Arbitrary Seminorms | Dec 1, 2020 | Adversarial RobustnessQuantization | CodeCode Available | 0 |
| Adversarial Examples for k-Nearest Neighbor Classifiers Based on Higher-Order Voronoi Diagrams | Nov 19, 2020 | Adversarial Robustness | CodeCode Available | 0 |
| Fast Adversarial Training with Smooth Convergence | Aug 24, 2023 | Adversarial Robustness | CodeCode Available | 0 |
| Towards adversarial robustness with 01 loss neural networks | Aug 20, 2020 | Adversarial RobustnessBinary Classification | CodeCode Available | 0 |
| Expressive Losses for Verified Robustness via Convex Combinations | May 23, 2023 | Adversarial Robustness | CodeCode Available | 0 |
