RDSJC / AI-Security-and-Privacy-Events

A curated list of workshops and tutorials on AI Security & Privacy

A curated list of workshops and tutorials on AI Security and Privacy

Workshops and Tutorials on AI S&P in Security, ML, CV, NLP, and IR & RecSys venues.

General venues

• IEEE Conference on Secure and Trustworthy Machine Learning

S&P venues

• Workshops

  • Artificial Intelligence and Security (CCS 2008-present)
  • Deep Learning and Security (Oakland 2018-present)

ML venues

• Workshops

  • Socially Responsible Machine Learning (ICLR 2022)
  • Privacy, Accountability, Interpretability, Robustness, Reasoning on Structured Data (ICLR 2022)
  • Security and Safety in Machine Learning Systems (ICLR 2021)
  • Robust and Reliable Machine Learning in the Real World (ICLR 2021)
  • Towards Trustworthy ML: Rethinking Security and Privacy for ML (ICLR 2020)
  • Safe Machine Learning: Specification, Robustness and Assurance (ICLR 2019)
  • Theory and Practice of Differential Privacy (ICML 2022)
  • New Frontiers in Adversarial Machine Learning (ICML 2022)
  • A Blessing in Disguise: The Prospects and Perils of Adversarial Machine Learning (ICML 2021)
  • Socially Responsible Machine Learning (ICML 2021)
  • Uncertainty & Robustness in Deep Learning (ICML 2021, ICML 2020)
  • Security and Privacy of Machine Learning (ICML 2019)
  • Privacy in Machine Learning (NeurIPS 2021)
  • Dataset Curation and Security (NeurIPS 2020)
  • Security in Machine Learning (NeurIPS 2018)
  • Machine Learning and Computer Security (NeurIPS 2017)
  • Adversarial Training (NeurIPS 2016)
  • Reliable Machine Learning in the Wild (NeurIPS 2016)
  • Adversarial Learning Methods for Machine Learning and Data Mining (KDD 2022, KDD 2021, KDD 2020, KDD 2019)
  • Artificial Intelligence Safety (AAAI 2019-2022)
  • Practical Deep Learning in the Wild (AAAI 2022)
  • Adversarial Machine Learning and Beyond (AAAI 2022)
  • Towards Robust, Secure and Efficient Machine Learning (AAAI2021)

• Tutorials

  • Adversarial Robustness - Theory and Practice (NeurIPS 2018)
  • Adversarial Robustness in Deep Learning: From Practices to Theories (KDD 2021)
  • Adversarial Attacks and Defenses: Frontiers, Advances and Practice (KDD 2020)
  • Adversarial Robustness of Deep Learning: Theory, Algorithms, and Applications (ICDM 2020)
  • Adversarial Machine Learning for Good (AAAI 2022)
  • Adversarial Machine Learning (AAAI 2018)

CV venues

• Workshops

  • The Art of Robustness: Devil and Angel in Adversarial Machine Learning (CVPR 2022)
  • The Bright and Dark Sides of Computer Vision: Challenges and Opportunities for Privacy and Security (CVPR 2021, ECCV 2020, CVPR 2019, CVPR 2018, CVPR 2017 )
  • Adversarial Robustness in the Real World (ECCV 2022, ICCV 2021, CVPR 2021, ECCV 2020, CVPR 2020, CVPR 2019)
  • Adversarial Learning for Multimedia (ACMMM 2021)

• Tutorials

  • Adversarial Machine Learning in Computer Vision (CVPR 2021)
  • Practical Adversarial Robustness in Deep Learning: Problems and Solutions (CVPR 2021)
  • Adversarial Robustness of Deep Learning Models (ECCV 2020)
  • Deep Learning for Privacy in Multimedia (ACMMM 2020)

NLP venues

• Workshops

  • Analyzing and Interpreting Neural Networks for NLP (EMNLP 2021, EMNLP 2020, ACL 2019, EMNLP 2018)

• Tutorials

  • Robustness and Adversarial Examples in Natural Language Processing (EMNLP 2021)
  • Deep Adversarial Learning for NLP (NAACL 2019)

IR & RecSys venues

• Workshops

  • Adversarial Machine Learning for Recommendation and Search (CIKM 2021)
  • Online Misinformation- and Harm-Aware Recommender Systems (RecSys 2021, RecSys 2020)

• Tutorials

  • Adversarial Machine Learning in Recommender Systems (ECIR 2021, RecSys 2020, WSDM 2020)