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2002.09364
Cited By

Adversarial Detection and Correction by Matching Prediction
Distributions

Adversarial Detection and Correction by Matching Prediction Distributions

21 February 2020

ArXiv (abs)PDF HTML

Papers citing "Adversarial Detection and Correction by Matching Prediction Distributions"

9 / 9 papers shown

Anomaly Detection Based on Critical Paths for Deep Neural Networks

Anomaly Detection Based on Critical Paths for Deep Neural Networks

254

0

0

20 May 2025

Learn to Adapt: Robust Drift Detection in Security Domain

Learn to Adapt: Robust Drift Detection in Security DomainComputers & electrical engineering (CEE), 2022

Nhien-An Le-Khac

170

31

0

15 Jun 2022

FACM: Intermediate Layer Still Retain Effective Features against
Adversarial Examples

FACM: Intermediate Layer Still Retain Effective Features against Adversarial Examples

292

0

0

02 Jun 2022

Gradient Aligned Attacks via a Few Queries

Gradient Aligned Attacks via a Few Queries

240

0

0

19 May 2022

Adversarial Robustness of Deep Reinforcement Learning based Dynamic
Recommender Systems

Adversarial Robustness of Deep Reinforcement Learning based Dynamic Recommender Systems

Yuanjiang Cao

191

3

0

02 Dec 2021

A Uniform Framework for Anomaly Detection in Deep Neural Networks

A Uniform Framework for Anomaly Detection in Deep Neural Networks

339

11

0

06 Oct 2021

Two Souls in an Adversarial Image: Towards Universal Adversarial Example
Detection using Multi-view Inconsistency

Two Souls in an Adversarial Image: Towards Universal Adversarial Example Detection using Multi-view InconsistencyAsia-Pacific Computer Systems Architecture Conference (ACSA), 2021

239

12

0

25 Sep 2021

Self-Supervised Adversarial Example Detection by Disentangled
Representation

Self-Supervised Adversarial Example Detection by Disentangled RepresentationInternational Conference on Trust, Security and Privacy in Computing and Communications (TrustCom), 2021

287

10

0

08 May 2021

Monitoring and explainability of models in production

Monitoring and explainability of models in production

309

60

0

13 Jul 2020

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