AIセキュリティポータルbot

The Space of Transferable Adversarial Examples

Authors: Florian Tramèr, Nicolas Papernot, Ian Goodfellow, Dan Boneh, Patrick McDaniel | Published: 2017-04-11 | Updated: 2017-05-23
Model Robustness
Attack Detection
Adversarial Example Detection

Optimized Data Pre-Processing for Discrimination Prevention

Authors: Flavio P. Calmon, Dennis Wei, Karthikeyan Natesan Ramamurthy, Kush R. Varshney | Published: 2017-04-11
Fairness Learning
Creation of Fair AI Models
Bias in Training Data

Interpretable Explanations of Black Boxes by Meaningful Perturbation

Authors: Ruth Fong, Andrea Vedaldi | Published: 2017-04-11 | Updated: 2021-12-03
XAI (Explainable AI)
Deep Learning Method
Feature Importance Analysis

Security Analytics of Network Flow Data of IoT and Mobile Devices (Work-in-progress)

Authors: Ashish Kundu, Chinmay Kundu, Karan K. Budhraja | Published: 2017-04-10
Security Analysis Method
Device Sensitivity Analysis
Vulnerability Analysis

Learning Important Features Through Propagating Activation Differences

Authors: Avanti Shrikumar, Peyton Greenside, Anshul Kundaje | Published: 2017-04-10 | Updated: 2019-10-12
XAI (Explainable AI)
Deep Learning Method
Feature Importance Analysis

Enhancing Robustness of Machine Learning Systems via Data Transformations

Authors: Arjun Nitin Bhagoji, Daniel Cullina, Chawin Sitawarin, Prateek Mittal | Published: 2017-04-09 | Updated: 2017-11-29
Certified Robustness
Model Extraction Attack
Defense Effectiveness Analysis

A Multi-view Context-aware Approach to Android Malware Detection and Malicious Code Localization

Authors: Annamalai Narayanan, Mahinthan Chandramohan, Lihui Chen, Yang Liu | Published: 2017-04-06 | Updated: 2017-04-08
Security Analysis Method
Program Analysis
Malware Detection Method

Adequacy of the Gradient-Descent Method for Classifier Evasion Attacks

Authors: Yi Han, Benjamin I. P. Rubinstein | Published: 2017-04-06 | Updated: 2017-05-25
Poisoning
Certified Robustness
Adversarial Learning

Comment on “Biologically inspired protection of deep networks from adversarial attacks”

Authors: Wieland Brendel, Matthias Bethge | Published: 2017-04-05
Trigger Detection
Certified Robustness
Adversarial Learning

EMULATOR vs REAL PHONE: Android Malware Detection Using Machine Learning

Authors: Mohammed K. Alzaylaee, Suleiman Y. Yerima, Sakir Sezer | Published: 2017-03-31
Online Malware Detection
Dynamic Analysis Method
Performance Evaluation Method