https://github.com/RandomAdversary/Awesome-AI-Security

📁 #AISecurity

Awesome AI Security

A curated list of AI security resources inspired by awesome-adversarial-machine-learning & awesome-ml-for-cybersecurity.

Legend:

Type	Icon
Research
Slides
Video
Website / Blog post
Code
Other

Keywords:

• Adversarial examples
• Evasion attacks
• Poisoning attacks
• Feature selection
• Tutorials
• Misc
• Code
• Links

▲ Adversarial examples

Type	Title
	Explaining and Harnessing Adversarial Examples
	Transferability in Machine Learning: from Phenomena to Black-Box Attacks using Adversarial Samples
	Delving into Transferable Adversarial Examples and Black-box Attacks
	On the (Statistical) Detection of Adversarial Examples
	The Space of Transferable Adversarial Examples
	Adversarial Attacks on Neural Network Policies
	Adversarial Perturbations Against Deep Neural Networks for Malware Classification
	Crafting Adversarial Input Sequences for Recurrent Neural Networks
	Practical Black-Box Attacks against Machine Learning
	Adversarial examples in the physical world

▲ Evasion

Type	Title
	Query Strategies for Evading Convex-Inducing Classifiers
	Evasion attacks against machine learning at test time
	Automatically Evading Classifiers A Case Study on PDF Malware Classifiers
	Looking at the Bag is not Enough to Find the Bomb: An Evasion of Structural Methods for Malicious PDF Files Detection
	Generic Black-Box End-to-End Attack against RNNs and Other API Calls Based Malware Classifiers

▲ Poisoning

Type	Title
	Poisoning Behavioral Malware Clustering
	Efficient Label Contamination Attacks Against Black-Box Learning Models

▲ Feature selection

Type	Title
	Is Feature Selection Secure against Training Data Poisoning?

▲ Misc

Type	Title
	Can Machine Learning Be Secure?
	On The Integrity Of Deep Learning Systems In Adversarial Settings
	Stealing Machine Learning Models via Prediction APIs
	Data Driven Exploratory Attacks on Black Box Classifiers in Adversarial Domains
	Model Inversion Attacks that Exploit Confidence Information and Basic Countermeasures
	A Methodology for Formalizing Model-Inversion Attacks

▲ Code

Type	Title
	CleverHans - Python library to benchmark machine learning systems vulnerability to adversarial examples
	Model extraction attacks on Machine-Learning-as-a-Service platforms

▲ Links

Type	Title
	EvadeML - Machine Learning in the Presence of Adversaries
	Adversarial Machine Learning - PRA Lab