SOTAVerified

Adversarial Attack Detection

The detection of adversarial attacks.

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 26–38 of 38 papers

TitleStatusHype
Learning to Attack with Fewer Pixels: A Probabilistic Post-hoc Framework for Refining Arbitrary Dense Adversarial Attacks—0
Unleashing the Power of Pre-trained Encoders for Universal Adversarial Attack Detection—0
Reverse KL-Divergence Training of Prior Networks: Improved Uncertainty and Adversarial RobustnessCode0
MetaAdvDet: Towards Robust Detection of Evolving Adversarial AttacksCode0
Uncertainty Estimation of Transformer Predictions for Misclassification DetectionCode0
Gotta Catch 'Em All: Using Honeypots to Catch Adversarial Attacks on Neural NetworksCode0
Neural Fingerprints for Adversarial Attack DetectionCode0
Graph-based methods coupled with specific distributional distances for adversarial attack detectionCode0
Unfolding Local Growth Rate Estimates for (Almost) Perfect Adversarial DetectionCode0
Detecting Adversarial Examples in Batches -- a geometrical approachCode0
A Few Large Shifts: Layer-Inconsistency Based Minimal Overhead Adversarial Example DetectionCode0
Residue-Based Natural Language Adversarial Attack DetectionCode0
Two Souls in an Adversarial Image: Towards Universal Adversarial Example Detection using Multi-view InconsistencyCode0
Show:102550
← PrevPage 2 of 2Next →

No leaderboard results yet.