This week I attended the 36th IFIP TC-11 International Information Security and Privacy Conference. The conference was organized by the Department of Informatics at the University of Oslo. During the first day of the conference, there was a keynote on Security Engineering by the celebrated security expert Prof. Dr. Ross Anderson.

He discussed the topic involving the interaction between security engineering and machine learning. He warned us about the things that can go wrong with machine learning systems, including some new attacks and defenses, such as the Taboo Trap, data ordering attacks, sponge attacks, and more.

I especially enjoyed the part of his talk where he mentions the human to machine learning interaction. Coincidentally, this is a topic that I am researching. He discusses cases when robots incorporating machine learning components start mixing with humans, and then some tension and conflict, e.g., robots trying to deceive and bully humans, arises. This is a scenario that we should expect to see more in the future.

I highly recommend you to consider purchasing his brilliant book titled: “Security Engineering: A Guide to Building Dependable Distributed Systems”. This book is filled with actionable advice and latest research on how to design, implement, and test systems to withstand attacks. Certainly, this book has an extremely broad coverage of security in general and absolutely worth the purchase!