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adversarial detection

29 papers

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Co-occurring keywords

adversarial attack (1621) neural network (6616) text classification (6793) adversarial example (564) adversarial example detection (16) adversarial sample (38) adversarial robustness (1341) large language model (13587) transformer model (1996) model robustness (480)

Papers

Detecting Adversarial Data Using Perturbation Forgery CVPR 2025
RevPRAG: Revealing Poisoning Attacks in Retrieval-Augmented Generation through LLM Activation Analysis EMNLP 2025
Preventing Rogue Agents Improves Multi-Agent Collaboration ACL 2025
PIGuard: Prompt Injection Guardrail via Mitigating Overdefense for Free ACL 2025
PROOD: A Simple LLM Out-of-Distribution Guardrail Leveraging Response Semantics EMNLP 2025
A Multi-Granularity Clustering Approach for Federated Backdoor Defense with the Adam Optimizer IJCAI 2025
LuxVeri at GenAI Detection Task 3: Cross-Domain Detection of AI-Generated Text Using Inverse Perplexity-Weighted Ensemble of Fine-Tuned Transformer Models COLING 2025
Edit Distance Robust Watermarks via Indexing Pseudorandom Codes NIPS 2024
CASN:Class-Aware Score Network for Textual Adversarial Detection ACL 2023
On the Universal Adversarial Perturbations for Efficient Data-free Adversarial Detection ACL 2023
Detecting Adversarial Data by Probing Multiple Perturbations Using Expected Perturbation Score ICML 2023
Detection of Adversarial Examples in Text Classification: Benchmark and Baseline via Robust Density Estimation ACL 2022
A Study of the Attention Abnormality in Trojaned BERTs NAACL 2022
Input-specific Attention Subnetworks for Adversarial Detection ACL 2022
Think Twice Before Detecting GAN-Generated Fake Images From Their Spectral Domain Imprints CVPR 2022
Beating Attackers At Their Own Games: Adversarial Example Detection Using Adversarial Gradient Directions AAAI 2021
A Sweet Rabbit Hole by DARCY: Using Honeypots to Detect Universal Trigger’s Adversarial Attacks ACL 2021
Training Language Models under Resource Constraints for Adversarial Advertisement Detection NAACL 2021
Class-Disentanglement and Applications in Adversarial Detection and Defense NIPS 2021
LiBRe: A Practical Bayesian Approach to Adversarial Detection CVPR 2021
ML-LOO: Detecting Adversarial Examples with Feature Attribution AAAI 2020
Investigating Robustness of Adversarial Samples Detection for Automatic Speaker Verification INTERSPEECH 2020
Detecting Audio Attacks on ASR Systems with Dropout Uncertainty INTERSPEECH 2020
A Girl Has A Name: Detecting Authorship Obfuscation ACL 2020
Dynamic Network Pruning with Interpretable Layerwise Channel Selection AAAI 2020