CyLab Robotics Security and Privacy Workshop
July 28-29, 2025
Rangos Ballroom, Jared L. Cohon University Center
Carnegie Mellon University
The CyLab Robotics Security and Privacy Workshop will convene leading researchers and experts from across academia and industry to discuss strategic approaches to building trusted middleware and toolchains to foster a secure, privacy-preserving robotics ecosystem that is safe and trustworthy by design.

About | Schedule | Grand Challenges |
Speakers | Organizers | Sponsors
About
As robotics and autonomous systems technology becomes increasingly integrated into critical infrastructure sectors such as emergency services, defense, health and social care, and manufacturing, the need for a secure and private ecosystem is more urgent than ever. However, existing approaches to building robotic systems treat safety, security, and privacy as an afterthought. For example, the current landscape of robotics middleware, such as ROS, has limitations in real-time readiness, usability, and widespread implementation, leading to potential security and privacy vulnerabilities. AI and ML are foundational to the next generation of advanced autonomous robots, but pose novel difficulties in assuring their safety and robustness in physical environments.
The CyLab Robotics Security and Privacy Workshop will convene leading researchers and experts from across academia and industry to discuss strategic approaches to building trusted middleware and toolchains to foster a secure, privacy-preserving robotics ecosystem that is safe and trustworthy by design. We will bridge this gap by uniting experts in robotics, AI, cybersecurity, and privacy, collaborating with partners to meet the demands of industry, academia, and government.
Schedule
Please note: this is an invitation-only, in-person event. Please fill out this form if you are interested in attending.
This schedule is subject to change.
Day 1: Monday, July 28, 2025 (EDT)
9:00 a.m. - 10:30 a.m. – Welcome and Introductions
10:30 a.m. - 10:45 a.m. – Break, Transition to Talks
10:45 a.m. - 12:15 a.m. – Technical Talks
Speakers to be announced
12:15 p.m. - 1:45 p.m. – Lunch and Networking
1:45 p.m. - 3:15 p.m. – Breakout Session 1 – Grand Challenges
- Evaluation/Testing Frameworks
- Systems Approaches to Security in Robotics
- Threat Models
- ROS and ROS 2
- Policy Considerations
- Safety x AI and Machine Learning
- Sensing and Hardware Privacy/Security
- Supply Chain Security re: Software and Hardware
- Human Factors
3:15 p.m. - 3:30 p.m. – Break and Synthesis
3:30 p.m. - 4:00 p.m. – Recap of Breakouts
4:00 p.m. - 6:00 p.m. – Adjourn/Break before Dinner
6:00 p.m. - 8:00 p.m. – Dinner and Networking - Rangos Ballroom
Day 2: Tuesday, July 29, 2025 (EDT)
9:30 a.m. - 10:30 a.m.– Welcome and Technical Talks
Speakers to be announced
10:30 a.m. - 10:45 a.m. – Break/Transition to Breakouts
10:45 a.m. - 12:15 p.m. – Breakout Session 2 – Solutions to Grand Challenges
12:15 p.m. - 1:30 p.m. – Lunch and Synthesis
1:30 p.m. - 2:00 p.m. – Recap of Breakouts
2:00 p.m. - 4:30 p.m. – Lab Tours (optional)
To be announced
Grand Challenges
Evaluation/Testing Frameworks
This breakout session will discuss approaches for evaluating the security and privacy of robotic systems, and identify gaps and challenges in evaluation metrics, benchmarks, verification methods, and simulation-based and field testing.
Systems Approaches to Security & Privacy in Robotics
Robotic systems involve the integration of complex mechanical, electrical, and software components within dynamic and uncertain environments. These integrations can create emergent security and privacy challenges that cannot always be anticipated in advance. This breakout session will discuss those challenges and explore the role of system-wide strategies for improving security and privacy in robotics, including assurance cases, risk assessment methodologies, and security- and privacy-by-design principles.
Threat Models
In addition to attackers against traditional computing infrastructure, specialized threat models for robotics systems are needed because they frequently interact with the physical world and humans in the environment, and sometimes operate under real-time constraints. This breakout session discusses these specialized threat models
Privacy & Security in Robotics Software Ecosystems
Software frameworks, middlewares, and package ecosystems such as ROS 2 enable modular and reusable robotics development but also introduce security, privacy, and safety challenges. This breakout session will identify the safety, security, and privacy challenges that arise from robotics software and explore the space of potential solutions.
Policy Considerations
What regulations, certifications, standards, or policies should (or do) apply to security and privacy aspects of robotics? This breakout session seeks to answer this question in the context of existing regulations covering some aspects of robotics (e.g., in the US, FAA for flying robots and FCC for communication, FTC actions addressing unfair or deceptive practices resulting from poor security or privacy, or regulations governing medical devices and health data) — what issues do these address, and what other policy could address other issues in security and privacy of robotics?
Safety x AI and Machine Learning
Powerful AI technologies such as LLMs are increasingly being deployed in robotic systems, but they also introduce new, unique challenges for security, safety, and privacy. This breakout session will identify potential use cases and risks of using AI in robotic systems and discuss approaches for mitigating those risks.
Sensing and Hardware Privacy/Security
Undermining the security of a sensor or another component can render the data from that sensor useless or even undermine all downstream decisions from that component. On the flip side, the earlier in the pipeline privacy can be addressed, this can potentially aid confidentiality and security down the line. This breakout session examines attacks and defenses on security and privacy for sensors and other hardware components.
Supply Chain Security re: Software and Hardware
Robotics systems contain complex software components and hardware components, which may come from a large number of sources, leaving a large attack surface for attackers to modify the component, causing security, privacy, or safety issues. This breakout session discusses challenges and potential solutions to the supply chain security in the context of robotic systems.
Human Factors
Many an allegedly-secure system has broken down as a result of its failure to address the human element. This breakout session addresses the ways humans interact with robotics and AI that go beyond interactions with other automated systems, and seeks to identify key questions and answers regarding human factors in security and privacy of robotics.
Speakers
See detailed information about this year's speakers and their presentation abstracts.

Lujo Bauer
Professor
Carnegie Mellon University Department of Electrical and Computer Engineering, Software and Societal Systems Department

Kassem Fawaz
Associate Professor
University of Wisconsin–Madison Department of Electrical & Computer Engineering

Philip Koopman
Associate Professor
Carnegie Mellon University Department of Electrical and Computer Engineering
Program Chairs
Program Members

Sarah Scheffler
Assistant Professor
Software and Societal Systems Department, Engineering and Public Policy
Sponsors
CyLab is currently offering a limited number of opportunities to sponsor the CyLab Robotics Security and Privacy Workshop to companies and organizations seeking to build brand visibility among robotics and cybersecurity experts from across the globe, as well as with Carnegie Mellon University faculty members, students, and alumni. For more information on sponsoring the CyLab Robotics Security and Privacy Workshop, contact Michael Lisanti, Senior Director of Partnerships, at 412-268-1870 or mlisanti@andrew.cmu.edu.

The CyLab Robotics Security and Privacy Workshop is supported by the U.S. National Science Foundation Security, Privacy, and Trust in Cyberspace (SaTC 2.0) program under Grant No. 2420955.