CFP
AdvML 2020: 2nd Workshop on Adversarial Learning Methods for Machine Learning and Data Mining |
Website | https://sites.google.com/view/advml |
Submission link | https://easychair.org/conferences/?conf=advml2020 |
Submission deadline | May 20, 2020 |
Topics of interest for AdvML 2020 submissions include but are not limited to:
- Adversarial attacks (e.g. evasion, poison and model inversion) and defenses in machine learning and data mining
- Robustness certification and property verification techniques
- Representation learning, knowledge discovery and model generalizability
- Model robustness against model compression (e.g. network pruning and quantization)
- Generative models and their applications (e.g., generative adversarial nets)
- Robust optimization methods and (computational) game theory
- Explainable and fair machine learning models via adversarial learning techniques
- Transfer learning, multi-agent adaptation, self-paced learning
- Privacy and security in machine learning systems
- Trustworthy data mining and machine learning
Submission Guidelines
All papers must be original and not simultaneously submitted to another journal or conference. The following paper categories are welcome:
- Paper submission format: ACM template, 4 pages excluding references and supporting material