Ecosyste.ms: Awesome
An open API service indexing awesome lists of open source software.
awesome-adversarial-machine-learning
A curated list of awesome AML attacks and defences frameworks and resources.
https://github.com/man3kin3ko/awesome-adversarial-machine-learning
- NIST: A Taxonomy and Terminology of Adversarial Machine Learning
- ENISA: Artificial Intelligence Cybersecurity Challenges
- MITRE: Adversarial Threat Landscape for Artificial-Intelligence Systems
- The Threat of Offensive AI to Organizations
- Threat of Adversarial Attacks on Deep Learning in Computer Vision: A Survey
- ENISA: Securing Machine Learning Algorithms
- AISecOps
- MITRE reports on in-the-wild
- Avito fights content theft using adversarial attacks
- Kaldi
- Lingvo
- Deepspeech
- Man-in-the-Elevator
- DolphinAttack
- MPEG Compression
- Membership inference
- Deanonymization
- Model inversion
- Model stealing
- Blind-spot detection
- State prediction
- Poisoning DoS
- Sponge examples
- Master fingerprint
- Face recognition evasion
- NIPS 2017: Defense Against Adversarial Attack
- NIPS 2018 : Adversarial Vision Challenge
- GeekPwn CAAD 2018
- IJCAI-19 Alibaba Adversarial AI Challenge
- GeekPwn CAAD 2019
- Positive Hack Days 2019: AI CTF
- Positive Hack Days 2021: AI CTF
- Positive Hack Days 2022: AI CTF
- UTCTF 2019 (FaceSafe, Bot Protection IV tasks)
- vishwaCTF21 (Good Driver Bad Driver task)
- **adversarial-robustness-toolbox**
- **foolbox**
- **cleverhans**