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Adversarial Attack Detection

The detection of adversarial attacks.

Papers

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Showing 1–25 of 38 papers

TitleStatusHype
A Few Large Shifts: Layer-Inconsistency Based Minimal Overhead Adversarial Example DetectionCode0
Unleashing the Power of Pre-trained Encoders for Universal Adversarial Attack Detection—0
ASVspoof 5: Design, Collection and Validation of Resources for Spoofing, Deepfake, and Adversarial Attack Detection Using Crowdsourced Speech—0
Neural Fingerprints for Adversarial Attack DetectionCode0
DFT-Based Adversarial Attack Detection in MRI Brain Imaging: Enhancing Diagnostic Accuracy in Alzheimer's Case Studies—0
Self-Supervised Representation Learning for Adversarial Attack Detection—0
Conformal Shield: A Novel Adversarial Attack Detection Framework for Automatic Modulation Classification—0
Resilient and constrained consensus against adversarial attacks: A distributed MPC framework—0
Robust Adversarial Attacks Detection for Deep Learning based Relative Pose Estimation for Space Rendezvous—0
OUTFOX: LLM-Generated Essay Detection Through In-Context Learning with Adversarially Generated ExamplesCode1
Graph-based methods coupled with specific distributional distances for adversarial attack detectionCode0
Multi-head Uncertainty Inference for Adversarial Attack Detection—0
Unfolding Local Growth Rate Estimates for (Almost) Perfect Adversarial DetectionCode0
Benchmarking Adversarially Robust Quantum Machine Learning at Scale—0
Detecting Adversarial Examples in Batches -- a geometrical approachCode0
Attack-Agnostic Adversarial Detection—0
Btech thesis report on adversarial attack detection and purification of adverserially attacked images—0
Uncertainty Estimation of Transformer Predictions for Misclassification DetectionCode0
Residue-Based Natural Language Adversarial Attack DetectionCode0
Generative Adversarial Network-Driven Detection of Adversarial Tasks in Mobile Crowdsensing—0
Residue-Based Natural Language Adversarial Attack Detection—0
Segment and Complete: Defending Object Detectors against Adversarial Patch Attacks with Robust Patch DetectionCode1
Is RobustBench/AutoAttack a suitable Benchmark for Adversarial Robustness?Code1
Two Souls in an Adversarial Image: Towards Universal Adversarial Example Detection using Multi-view InconsistencyCode0
Multi-Expert Adversarial Attack Detection in Person Re-identification Using Context Inconsistency—0
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