conftrace_

neural network classifier

47 papers

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Co-occurring keywords

neural network (6616) adversarial robustness (1341) text classification (6793) adversarial attack (1621) binary classification (678) adversarial example (564) out-of-distribution detection (617) certified robustness (116) social media (667) confidence score (68)

Papers

Tightening Robustness Verification of MaxPool-based Neural Networks via Minimizing the Over-Approximation Zone CVPR 2025
ISACL: Internal State Analyzer for Copyrighted Training Data Leakage EMNLP 2025
Deloitte (Drocks) at SemEval-2025 Task 3: Fine-Grained Multi-lingual Hallucination Detection Using Internal LLM Weights ACL 2025
Confidence Calibration of Classifiers with Many Classes NIPS 2024
Mixing classifiers to alleviate the accuracy-robustness trade-off L4DC 2024
WeiPer: OOD Detection using Weight Perturbations of Class Projections NIPS 2024
Discriminative Calibration: Check Bayesian Computation from Simulations and Flexible Classifier NIPS 2023
Detection of Out-of-Distribution Samples Using Binary Neuron Activation Patterns CVPR 2023
Machine learning detects terminal singularities NIPS 2023
Contrastive Classification and Representation Learning with Probabilistic Interpretation AAAI 2023
Adaptive Image Anonymization in the Context of Image Classification with Neural Networks ICCV 2023
Enhancing Adversarial Robustness via Score-Based Optimization NIPS 2023
Understanding Square Loss in Training Overparametrized Neural Network Classifiers NIPS 2022
Benign Overfitting without Linearity: Neural Network Classifiers Trained by Gradient Descent for Noisy Linear Data COLT 2022
Reconstructing Training Data From Trained Neural Networks NIPS 2022
Accelerating Certified Robustness Training via Knowledge Transfer NIPS 2022
Bridging the Gap: Unifying the Training and Evaluation of Neural Network Binary Classifiers NIPS 2022
Agreement-on-the-line: Predicting the Performance of Neural Networks under Distribution Shift NIPS 2022
Detecting Misclassification Errors in Neural Networks with a Gaussian Process Model AAAI 2022
Deep Probabilistic Accelerated Evaluation: A Robust Certifiable Rare-Event Simulation Methodology for Black-Box Safety-Critical Systems AISTATS 2021
Automatic Severity Classification of Korean Dysarthric Speech Using Phoneme-Level Pronunciation Features INTERSPEECH 2021
A Zeroth-Order Block Coordinate Descent Algorithm for Huge-Scale Black-Box Optimization ICML 2021
Aggregated Learning: A Vector-Quantization Approach to Learning Neural Network Classifiers AAAI 2020
Minimally distorted Adversarial Examples with a Fast Adaptive Boundary Attack ICML 2020
ALICE: Active Learning with Contrastive Natural Language Explanations EMNLP 2020