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Malicious AI, AI for Security/Privacy, Crypto, Facial Analysis, Human Emotions

20012025

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Personal profile

Biography

Raphaël Phan is Professor at Monash University, specializing in security, cryptography and malicious AI. He has published over 90 journal papers and in excess of 120 conference papers.  He was the principal investigator for a project on privacy-preserving data mining funded by the UK government & UK Ministry of Defence, and recently led projects with funding in excess of RM3million from the Malaysian government & industry.

Raphaël was General Chair for Mycrypt 2005 and Asiacrypt 2007, and Technical Program Chair for Mycrypt 2016. He is regularly invited to serve on technical programme committees (TPCs) of internationally leading security conferences; to date having served in over 100 TPCs.

Raphaël has graduated 13 PhD students and currently supervises 18 PhD students; in the areas of security, privacy, emotion recognition, motion analysis and generative AI.

He is co-designer of the hash function BLAKE, one of the five finalists in the U.S. National Institute of Standards and Technology (NIST) SHA-3 Hash Competition for a new hash function standard. Raphaël has Erdős number 2 and h-index 49.

Recent Technical Programme Committees (TPCs)

  • 2024: AAAI 2024, Eurocrypt 2024
  • 2023: Globecom 2023

His current list of PhD students @Monash

Research interests

  • Security
  • Privacy
  • Cryptography
  • Emotion Recognition
  • Motion Analysis
  • Generative AI

More generally, any area of research related to malice and adversarial behaviour.

Expertise related to UN Sustainable Development Goals

In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):

  • SDG 3 - Good Health and Well-being
  • SDG 7 - Affordable and Clean Energy
  • SDG 16 - Peace, Justice and Strong Institutions

Research area keywords

  • Security
  • Privacy
  • Cryptography
  • Emotion Recognition
  • Motion Analysis
  • Generative AI

Collaborations and top research areas from the last five years

Recent external collaboration on country/territory level. Dive into details by clicking on the dots or