conftrace_

neural network robustness

92 papers

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Co-occurring keywords

adversarial attack (1621) adversarial robustness (1341) adversarial example (564) neural network (6616) deep neural network (1803) adversarial training (1262) adversarial perturbation (384) image classification (1944) convolutional neural network (4226) robustness certification (47)

Papers

HiQ-Lip: A Hierarchical Quantum-Classical Method for Global Lipschitz Constant Estimation of ReLU Networks AAAI 2026
Backdooring Rationalization AAAI 2026
Contrasting Adversarial Perturbations: The Space of Harmless Perturbations AAAI 2025
Adversarial Attention Perturbations for Large Object Detection Transformers ICCV 2025
Improving Generalization of Universal Adversarial Perturbation via Dynamic Maximin Optimization AAAI 2025
MOS-Attack: A Scalable Multi-objective Adversarial Attack Framework CVPR 2025
Set-Valued Sensitivity Analysis of Deep Neural Networks AAAI 2025
When Visual State Space Model Meets Backdoor Attacks WACV 2025
1-Lipschitz Layers Compared: Memory Speed and Certifiable Robustness CVPR 2024
Assessing Neural Network Robustness via Adversarial Pivotal Tuning WACV 2024
SuperDeepFool: a new fast and accurate minimal adversarial attack NIPS 2024
Convex neural network synthesis for robustness in the 1-norm L4DC 2024
ImageNet-D: Benchmarking Neural Network Robustness on Diffusion Synthetic Object CVPR 2024
Taxonomy Driven Fast Adversarial Training AAAI 2024
Achieving Domain-Independent Certified Robustness via Knowledge Continuity NIPS 2024
ECLipsE: Efficient Compositional Lipschitz Constant Estimation for Deep Neural Networks NIPS 2024
Towards General Robustness Verification of MaxPool-based Convolutional Neural Networks via Tightening Linear Approximation CVPR 2024
Improving Robustness via Tilted Exponential Layer: A Communication-Theoretic Perspective AISTATS 2024
Single Domain Generalization via Normalised Cross-Correlation Based Convolutions WACV 2024
Adversarial Parameter Attack on Deep Neural Networks ICML 2023
Enhancing Fine-Tuning Based Backdoor Defense with Sharpness-Aware Minimization ICCV 2023
Characterizing the Impacts of Instances on Robustness ACL 2023
Phase-shifted adversarial training UAI 2023
ImageNet-E: Benchmarking Neural Network Robustness via Attribute Editing CVPR 2023
Gradient-Informed Neural Network Statistical Robustness Estimation AISTATS 2023