CyberAI

In his testimony before the House Subcommittee Cybersecurity, Infrastructure Protection, and Innovation, Senior Fellow Andrew Lohn offer recommendations on how to mitigate AI security risks.

Adversarial patches are images designed to fool otherwise well-performing neural network-based computer vision models. Although these attacks were initially conceived of and studied digitally, in that the raw pixel values of the image were perturbed, recent work has demonstrated that these attacks can successfully transfer to the physical world. This can be accomplished by printing out the patch and adding it into scenes of newly captured images or video footage.

In his testimony before the House of Representatives Subcommittee on Cybersecurity, Infrastructure Protection, and Innovation, Senior Fellow Andrew Lohn discussed the application of AI systems in cybersecurity and AI’s vulnerabilities.

CSET Senior Fellow Andrew Lohn testified before the House of Representatives Homeland Security Subcommittee on Cybersecurity, Infrastructure Protection, and Innovation at a hearing on "Securing the Future: Harnessing the Potential of Emerging Technologies While Mitigating Security Risks." Lohn discussed the application of AI systems in cybersecurity and AI’s vulnerabilities.

CSET shows support for OpenAI, Cohere, and AI21 Labs' statement regarding best practices applicable to any organization developing or deploying large language models. 

At a hearing before the House Science Subcommittee on Investigations and Oversight and Subcommittee on Research and Technology explained the vulnerabilities of open-source software.

U.S. House Lawmakers Search for Open Source Security Fixes

Government Technology
| May 13, 2022

Senior Fellow Andrew Lohn discussed how open source sharing has benefited the AI community in his testimony before two House Science Subcommittees.

In his testimony before the House, Science, Space and Technology Committee subcommittees, Senior Fellow Andrew Lohn shares the vulnerabilities of open-source software.

In his testimony before the House Science Subcommittee on Investigations and Oversight and the Subcommittee on Research and Technology, Senior Fellow Andrew Lohn discussed various vulnerabilities within the AI supply chain and the methods hackers use to subvert AI systems.

CSET Senior Fellow Andrew Lohn testified before the House of Representatives Science, Space and Technology Subcommittee on Investigations and Oversight and Subcommittee on Research and Technology at a hearing on "Securing the Digital Commons: Open-Source Software Cybersecurity." Lohn discussed how the United States can maximize sharing within the artificial intelligence community while reducing risks to the AI supply chain.