Aman Priyanshu

AI Safety & Privacy Researcher

Hi, I'm Aman!

I'm an AI Researcher at Cisco specializing in AI safety, security, and privacy leakages in AI systems. In my brief time as a researcher, I've been fortunate to publish in various AI conferences, journals, and workshops, with my work spanning privacy-preserving machine learning, AI security, and large language models. My focus has been on uncovering vulnerabilities in foundation models - work that has garnered media attention (1, 2, 3) and led to invitations to join some really cool security initiatives like OpenAI's Red Teaming Network and Anthropic's Model Safety Bug Bounty Program (though couldn't participate completely due to student-visa restrictions).

With a Masters in Privacy Engineering from Carnegie Mellon University, I've worked closely with Professor Norman Sadeh on LLMs and cybersecurity research, while also collaborating externally with Professor Ashique KhudaBukhsh (RIT) on exploring LLM political polarization and jailbreak-assisted toxic rabbit hole evaluations. My contributions to privacy-preserving machine learning and AI safety have been recognized through the AAAI Undergraduate Consortium Scholar and MITACS Research Scholar awards, further fueling my passion for bridging the gap between theoretical vulnerabilities and real-world implications.