2nd Workshop on Adversarial Learning Methods for Machine Learning and Data Mining @ KDD 2020

Workshop Agenda (virtual event + Youtube broadcast): August 24th, 2020, 8 am to noon (US pacific time)

  • Two Best Paper Awards and One Best Presentation Award are sponsored by MIT-IBM Watson AI Lab with cash prizes ($500 each)!

  • Co-located conference: KDD 2020

  • Workshop Date and time: August 24th, 2020, 8 am to noon (pacific time)

  • Organizers: Pin-Yu Chen (IBM Research), Cho-Jui Hsieh (UCLA), Bo Li (UIUC), SIjia Liu (IBM Research)

  • Paper submission Deadline: May 20th, 2020 June 20th, 2020 (due to COVID-19)

  • Notification Date: June 15th, 2020 July 15th, 2020 (due to COVID-19)

  • Submission Site: EasyChair

  • Paper submission format: ACM template, 4 pages excluding references and supporting materials. The authors can choose to anonymize the author information during submission (but not required to do so).

Accepted Papers:

Topics of interest 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