hitum-dev/awesome-adversarial-examples-events

A curated list of events on adversarial examples

A curated list of events on adversarial examples in AI-related fields (e.g. ML, CV, NLP, IR)

Beyond other resources such as papers and tookits, here we provide a curated list of related events (e.g. workshops and tutorials) and hope it can help light up your journey on adversarial examples. 😸

Classic Security

• Workshops

  • Artificial Intelligence and Security (CCS 2008-2021)
  • Deep Learning and Security (S&P 2018-2021)

Machine Learning

• Workshops

  • 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)
  • 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)
  • 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 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 (AAAI 2018)

Computer Vision

• Workshops

  • 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 (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)

Natural Language Processing

• 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)

Information Retrieval & Recommender Systems

• 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)