AIセキュリティポータルbot

Topology Attack and Defense for Graph Neural Networks: An Optimization Perspective

Authors: Kaidi Xu, Hongge Chen, Sijia Liu, Pin-Yu Chen, Tsui-Wei Weng, Mingyi Hong, Xue Lin | Published: 2019-06-10 | Updated: 2019-10-14
Adversarial Learning
Selection and Evaluation of Optimization Algorithms
Defense Method
2019.06.10 2025.05.28
Literature Database

Attacking Graph Convolutional Networks via Rewiring

Authors: Yao Ma, Suhang Wang, Tyler Derr, Lingfei Wu, Jiliang Tang | Published: 2019-06-10 | Updated: 2019-09-28
Reinforcement Learning Attack
Adversarial Learning
Deep Reinforcement Learning
2019.06.10 2025.05.28
Literature Database

Provably Robust Deep Learning via Adversarially Trained Smoothed Classifiers

Authors: Hadi Salman, Greg Yang, Jerry Li, Pengchuan Zhang, Huan Zhang, Ilya Razenshteyn, Sebastien Bubeck | Published: 2019-06-09 | Updated: 2020-01-10
Poisoning
Adversarial Learning
Defense Method
2019.06.09 2025.05.28
Literature Database

Adversarial Attack Generation Empowered by Min-Max Optimization

Authors: Jingkang Wang, Tianyun Zhang, Sijia Liu, Pin-Yu Chen, Jiacen Xu, Makan Fardad, Bo Li | Published: 2019-06-09 | Updated: 2021-11-01
Adversarial Learning
Deep Learning
Defense Method
2019.06.09 2025.05.28
Literature Database

Real or Fake? Learning to Discriminate Machine from Human Generated Text

Authors: Anton Bakhtin, Sam Gross, Myle Ott, Yuntian Deng, Marc'Aurelio Ranzato, Arthur Szlam | Published: 2019-06-07 | Updated: 2019-11-25
Identification of AI Output
Energy-Based Model
Deep Learning Method
2019.06.07 2025.05.28
Literature Database

Robustness for Non-Parametric Classification: A Generic Attack and Defense

Authors: Yao-Yuan Yang, Cyrus Rashtchian, Yizhen Wang, Kamalika Chaudhuri | Published: 2019-06-07 | Updated: 2020-02-24
Robust Classification
Adversarial Learning
Defense Method
2019.06.07 2025.05.28
Literature Database

A cryptographic approach to black box adversarial machine learning

Authors: Kevin Shi, Daniel Hsu, Allison Bishop | Published: 2019-06-07 | Updated: 2020-02-21
Security Testing
Adversarial Training
Defense Effectiveness Analysis
2019.06.07 2025.05.28
Literature Database

Computing Tight Differential Privacy Guarantees Using FFT

Authors: Antti Koskela, Joonas Jälkö, Antti Honkela | Published: 2019-06-07 | Updated: 2019-11-04
Characteristics of RDP
Privacy Protection
Mathematical Foundations
2019.06.07 2025.05.28
Literature Database

Adversarial Explanations for Understanding Image Classification Decisions and Improved Neural Network Robustness

Authors: Walt Woods, Jack Chen, Christof Teuscher | Published: 2019-06-07 | Updated: 2019-08-06
Poisoning
Adversarial Example
Adversarial Training
2019.06.07 2025.05.28
Literature Database

Can You Trust Your Model’s Uncertainty? Evaluating Predictive Uncertainty Under Dataset Shift

Authors: Yaniv Ovadia, Emily Fertig, Jie Ren, Zachary Nado, D Sculley, Sebastian Nowozin, Joshua V. Dillon, Balaji Lakshminarayanan, Jasper Snoek | Published: 2019-06-06 | Updated: 2019-12-17
Quantification of Uncertainty
Uncertainty Assessment
Deep Learning Method
2019.06.06 2025.05.28
Literature Database
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