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A curated list of AI Security & Privacy academic events

Seminar

Conference

Workshop

Tutorial

  • Machine Learning & Artificial Intelligence

    • Quantitative Reasoning About Data Privacy in Machine Learning (ICML 2022)
    • Foundational Robustness of Foundation Models (NeurIPS 2022)
    • Adversarial Robustness - Theory and Practice (NeurIPS 2018)
    • Towards Adversarial Learning: from Evasion Attacks to Poisoning Attacks (KDD 2022)
    • 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)
  • Computer Vision

    • 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

    • Vulnerabilities of Large Language Models to Adversarial Attacks (ACL 2024)
    • Robustness and Adversarial Examples in Natural Language Processing (EMNLP 2021)
    • Deep Adversarial Learning for NLP (NAACL 2019)
  • Information Retrieval

Special Session

  • Special Track on Safe and Robust AI (AAAI 2023)
  • Special Session on Adversarial Learning for Multimedia Understanding and Retrieval (ICMR 2022)
  • Special Session on Adversarial Attack and Defense (APSIPA 2022)
  • Special Session on Information Security meets Adversarial Examples (WIFS 2019)

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