An overview on Data Protection and the importance of mathematical constructs in not only protecting data but identifying data risk. Using examples from cryptography, anonymization, artificial intelligence, and cyberattacks, the talk highlights how privacy failures often occur when mathematical assumptions break down—such as when systems unintentionally reveal too much information or when future computing power undermines today’s security. The central message is that data protection is about designing and testing systems mathematically in the presence of intelligent adversaries, and that these technical choices now have real consequences for trust, regulation, and society.

Register now to secure your spot at this link:

https://portal.fields.utoronto.ca/personal-portal/participation/3289