Ram Shankar Siva Kumar is an adversarial ML researcher and Tech Policy Fellow at UC Berkeley. His work on AI and Security has appeared in industry conferences like RSA, Black Hat, Defcon, BlueHat, DerbyCon, MIRCon, Infiltrate, and academic workshops at NeurIPS, ICLR, ICML, IEEE S&P, ACM - CCS. His work has been covered by Bloomberg, VentureBeat, Wired, and Geekwire. He founded the Adversarial ML Threat Matrix, an ATT&CK style framework enumerating threats to machine learning. His work on adversarial machine learning appeared notably in the National Security Commission on Artificial Intelligence (NSCAI) Final report presented to the United States Congress and the President. His recent book on attacking AI systems, NOT WITH A BUG, has received wide praise from industry leaders at Microsoft, Google DeepMind, OpenAI as well as policy makers and academia. He is donating his proceeds of the book royalty to Black In AI.
