adversarial attack detection

Gradual Uncertainty Refinement via Noise-Driven Curriculum: A Post-Hoc Meta-Model for Robust Uncertainty Quantification UAI 2026 Attention Tracker: Detecting Prompt Injection Attacks in LLMs NAACL 2025 Mind the Gap: Detecting Black-box Adversarial Attacks in the Making through Query Update Analysis CVPR 2025 Mixture-of-Attack-Experts with Class Regularization for Unified Physical-Digital Face Attack Detection AAAI 2025 VoiceDefense: Protecting Automatic Speaker Verification Models Against Black-box Adversarial Attacks Interspeech 2024 Spatially Constrained Adversarial Attack Detection and Localization in the Representation Space of Optical Flow Networks IJCAI 2023 Toward Stronger Textual Attack Detectors EMNLP 2023 VoteTRANS: Detecting Adversarial Text without Training by Voting on Hard Labels of Transformations ACL 2023 AdvEst: Adversarial Perturbation Estimation to Classify and Detect Adversarial Attacks against Speaker Identification Interspeech 2022 Can Rationalization Improve Robustness? NAACL 2022 Detecting Word-Level Adversarial Text Attacks via SHapley Additive exPlanations ACL 2022 Residue-Based Natural Language Adversarial Attack Detection NAACL 2022 “That Is a Suspicious Reaction!”: Interpreting Logits Variation to Detect NLP Adversarial Attacks ACL 2022 Uncertainty Estimation of Transformer Predictions for Misclassification Detection ACL 2022 A General Framework For Detecting Anomalous Inputs to DNN Classifiers ICML 2021 Exploiting Multi-Object Relationships for Detecting Adversarial Attacks in Complex Scenes ICCV 2021 Identifying untrustworthy predictions in neural networks by geometric gradient analysis UAI 2021 Maximum Mean Discrepancy Test is Aware of Adversarial Attacks ICML 2021 Multi-Expert Adversarial Attack Detection in Person Re-Identification Using Context Inconsistency ICCV 2021 Representation Learning to Classify and Detect Adversarial Attacks Against Speaker and Speech Recognition Systems Interspeech 2021 Sample Efficient Detection and Classification of Adversarial Attacks via Self-Supervised Embeddings ICCV 2021 Detecting Adversarial Attacks via Subset Scanning of Autoencoder Activations and Reconstruction Error IJCAI 2020 Detecting Adversarial Samples Using Influence Functions and Nearest Neighbors CVPR 2020 Detecting Audio Attacks on ASR Systems with Dropout Uncertainty Interspeech 2020 Locate-Then-Detect: Real-time Web Attack Detection via Attention-based Deep Neural Networks IJCAI 2019