Trusted CI Webinar: TIPPSS to improve Trust, Identity, Privacy, Protection, Safety and Security for Cyberphysical Systems, Monday July 28th @ 10am Central

Northeast Big Data Innovation Hub's Florence Hudson is presenting the talk, TIPPSS to improve Trust, Identity, Privacy, Protection, Safety and Security for Cyberphysical Systems, on Monday July 28th at 10am, Central time.

Please register here.

The challenge of providing end to end trust and security for operational technology systems has been a growing challenge and increasingly imperative. An IEEE effort was begun in 2016 to tackle that challenge, resulting in the publication of the first IEEE/UL TIPPSS standard (IEEE/UL 2933-2024) and the awarding of the 2024 IEEE Standards Association Emerging Technology Award to the TIPPSS standard working group.  The goal of the TIPPSS standard, which is envisioned to be a family of standards, is to improve Trust, Identity, Privacy, Protection, Safety and Security (TIPPSS) for cyber-physical systems, beginning with Clinical Internet of Things and expanding to research infrastructure, the energy grid, distributed energy resources, and more. In this webinar we will discuss the initial IEEE/UL TIPPSS standard for clinical IoT data and device interoperability, the details of the technical and process elements of the standard, and the opportunity to apply it to all operational technology. Future TIPPSS presentations planned include "TIPPSS for navigating a changing cybersecurity landscape at the Electron-Ion Collider and other scientific research facilities" in collaboration with Brookhaven National Laboratory at the ICALEPS 2025 conference (The 20th International Conference on Accelerator and Large Experimental Physics Control Systems) September 20-26, 2025 in Chicago, bringing the TIPPSS discussion to research infrastructure and the IT systems that support it. Trusted CI's initiatives in Secure by Design and the Trusted CI Operational Technology Procurement Vendor Matrix are very complementary to the TIPPSS initiative, and there is more we can do as a community in this effort together. Join us to discuss the imperatives and possibilities.

Speaker Bio: 

Florence Hudson is Executive Director of the Northeast Big Data Innovation Hub at Columbia University, leading over $10M in projects funded by the National Science Foundation, National Institutes of Health, and Department of Transportation. She is also Founder & CEO of FDHint, LLC, a global advanced technology consulting firm. A former IBM Vice President and Chief Technology Officer, Internet2 Senior Vice President & Chief Innovation Officer, Special Advisor for the NSF Cybersecurity Center of Excellence, and aerospace engineer at the NASA Jet Propulsion Lab and Grumman Aerospace Corporation, she is an Editor in Chief and Author for Springer, Elsevier, Wiley, IEEE, and other publications. She leads the development of global IEEE/UL standards to increase Trust, Identity, Privacy, Protection, Safety and Security (TIPPSS) for connected healthcare data and devices and cyberphysical systems, and is Vice Chair of the IEEE Engineering Medicine & Biology Society Standards Committee. She earned her Mechanical and Aerospace Engineering degree from Princeton University, and executive education certificates from Harvard Business School and Columbia University.

IEEE Emerging Technology Award

IEEE 2933 Working Group Leadership Team

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Join Trusted CI's announcements mailing list for information about upcoming events. To submit topics or requests to present, see our call for presentations. Archived presentations are available on our site under "Past Events."

Applications are now open for the 2025 Trusted CI Fellowship!

We’re excited to announce that applications are now open for the 2025 Trusted CI Fellowship. This is your chance to receive expert training, work closely with Trusted CI members, and further empower the NSF community to secure its own research.

Click here to learn more about the Fellows program and to view our past Fellows

Click here to apply for the program

The application deadline is Thursday, July 31, 2025

Trusted CI’s past Fellows have been an amazing success with 35 Fellows from various fields, including:

Research Technologies
Astrophysics
Criminal Justice
Network and Combinatorial Optimization
and Computer Engineering

Fellowship Benefits:

• Participation in Virtual Cybersecurity Institute Training Workshops
• Receive funding to attend the 2025 NSF Cybersecurity Summit
• Access to Trusted CI staff and other Cybersecurity professionals

Participation in the Fellows program will occur from October 2025 to April 2026.

Now Open - 2025 NSF Cybersecurity Summit Call for Participation

 

It is our pleasure to announce that the 2025 NSF Cybersecurity Summit (Oct 20-23, Boulder) Call for Participation is now open! The Summit Program Committee seeks proposals for:

• Plenary presentations and Panel talks
• Workshops and Trainings
• Birds of a Feather (BoFs) and Project meetings
• Poster session
• TLP:RED talks 

We welcome your proposals relevant to a broad range of topics related to the operational cybersecurity of NSF cyberinfrastructure and programs.  However, we encourage proposals that address topics highly ranked by the NSF CI Community. These include: 

• HPC security
• AI in cybersecurity:  Practical use in operational security and/or  balancing automation and oversight
• Network security and defense
• Regulatory compliance
• Staying on top of emerging threats (how-to guide)
• Pros and cons of federal, academic, and private research funding
• Digital forensics and incident response (case studies)
• Zero-trust architecture implementation
• Security of research IOT
• Adjusting your cybersecurity program during cuts

More detail and guidance on submitting proposals can be found here:
https://www.trustedci.org/2025-cfp

The deadline for plenary, workshop, training, BoF, and project meeting submissions is Monday June 30th. 

Poster session submissions are due September 5th. TLP: RED submissions are due October 10th. 

Thank you on behalf of the Program and Organizing Committees. We look forward to receiving your proposals and hope to see you in October in Boulder!

Trusted CI Webinar: Towards Practical Confidential High-Performance Computing, Monday June 23rd @ 10am Central

Indiana University's Chenghong Wang is presenting the talk, Towards Practical Confidential High-Performance Computing, on Monday June 23rd at 10am, Central time.

Please register here.

The democratization of high-performance computing (HPC)—driven by a paradigm shift toward cloud-based solutions—has unlocked unprecedented scalability in data sharing, interdisciplinary collaboration, and large-scale analytics. Yet, despite these advancements, the lack of strong privacy protection mechanisms, particularly for sensitive or regulated data, remains a significant barrier preventing critical domains from fully leveraging cloud HPC. In this webinar, I will present our group’s research toward enabling a practical confidential HPC paradigm—one that empowers HPC providers to securely process sensitive workloads with provable security and privacy guarantees.
 

My talk will be structured around three key pillars that underpin our approach: practical data-in-use security, data governance and compliance, and usability. First, I will introduce our vision for a next-generation trusted execution environment (TEE) architecture tailored for HPC—designed to deliver HPC-grade efficiency for large-scale, parallel workloads, while upholding strict data-in-use security guarantees. Second, I will discuss how we leverage formal methods to validate compliance with complex governance and data-sharing policies—ensuring that even dynamic, multi-party workloads can remain policy-aligned. Finally, I will share our ongoing work in developing new usability frameworks and programming abstractions designed to make confidential computing accessible to domain scientists—lowering the barrier for adoption without requiring expertise in cryptography or secure systems.

Speaker Bio: 

Chenghong Wang is an Assistant Professor in the Luddy School of Informatics, Computing, and Engineering at Indiana University Bloomington. He is a core faculty member of the Security and Privacy in Informatics, Computing, and Engineering (SPICE) group and affiliated with the NSF Center for Distributed Confidential Computing (CDCC). His research focuses on building full-stack solutions for privacy-preserving data sharing and analytics (PPDSA), bridging theory, systems, and architectural design. His work spans trusted execution environments, differential privacy, applied cryptography, and secure data systems. Dr. Wang's research has been published in premier venues across systems, security, and AI, including SIGMOD, VLDB, USENIX Security, MICRO, NeurIPS, IJCAI, ICCV, and EMNLP. Beyond his core focus, he actively collaborates across disciplines, contributing to projects in AI, machine learning, hardware systems, healthcare, and biomedicine. He received his Ph.D. in Computer Science from Duke University, where he was advised by Prof. Ashwin Machanavajjhala and Prof. Kartik Nayak.

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Join Trusted CI's announcements mailing list for information about upcoming events. To submit topics or requests to present, see our call for presentations. Archived presentations are available on our site under "Past Events."

2025 NSF Cybersecurity Summit Topics and Travel Plans

Help shape the Summit program by selecting the content you want to learn more about. You can suggest new topics in the comment field. We also want to hear more about your travel plans this year.

Thank you for your time!

https://forms.gle/1aavqtYvvLRuLJCo7
This form will close on Tuesday, May 27th at 5pm Eastern.

To learn more about the Summit, go to: https://trustedci.org/summit 

2025 Trusted CI Student Program Cohort Announced

The Trusted CI Student Program provides undergraduate and graduate students with hands-on experience, mentorship, and opportunities to learn how to build a secure and resilient digital future. Our program allows them to connect with the nation’s leading cybersecurity experts and equips them with the skills and knowledge necessary to succeed in the increasingly critical field of cybersecurity.

We are pleased to announce the 2025 Trusted CI Student Program cohort. Over the next six months, our students will learn about essential cybersecurity topics from Trusted CI experts. They will attend bi-monthly webinars from May to October, covering cybersecurity topics, soft skills, and career prep. This year’s cohort includes graduate students with interests in financial security, risk assessment, governance policy, and high performance computing. Read more about their backgrounds and what they hope that they will learn during their time with Trusted CI:

Saquoia Cox is a graduate student studying cybersecurity with a background in Accounting and Business Administration. She currently works as a Senior Accounting Analyst at The Walt Disney Company and serves as a peer mentor supporting students across various disciplines. Saquoia is passionate about the intersection of cybersecurity, finance, and digital ethics. She aims to help organizations safeguard both their data and financial integrity.

Kofoworola Idowu is a graduate student in cybersecurity at Yeshiva University, passionate about protecting digital assets and staying ahead of emerging threats. With a strong foundation in systems administration, risk assessment, and vulnerability management, she is excited to bring her skills and enthusiasm to the Trusted CI Student Program and contribute to its vibrant community. When she is not diving into the world of threat analysis and security protocols, you can find her trying out new hobbies or dancing. She is looking forward to collaborating, learning, and growing with like-minded individuals.

Trina Locklear is a doctoral student in the Computer Science department at The  University of Alabama. She is also a member of the Lumbee Tribe of North Carolina. Her research interests include software security in high performance computing. She is a former GAANN fellow and intern at Lawrence Livermore National Laboratory. She loves to bake and southern pound cake is her speciality.

Konstantin Metz is a graduate student in cybersecurity at the University of Central Florida, where he is pursuing an M.S. in cybersecurity and privacy as a CyberCorps Scholarship for Service recipient. His academic research centers on human-computer interaction, with a focus on dark patterns and digital accessibility for individuals with vision impairments. He holds a Bachelor of Science in information technology with a minor in cybersecurity and strategic communications within public relations from Nova Southeastern University. Metz has held technical and analytical roles in both the U.S. government and private sector, concentrating on incident response, cloud security, and systems administration. A bilingual speaker of German and English, he is a prospective Ph.D. student, whose research interests include governance, risk and compliance, cybersecurity policy and law, and the implementation of cloud infrastructure. In his free time, he enjoys exploring emerging technologies in health care, supporting his communities, cooking, and traveling.

Trusted CI Webinar: Conducting Responsible Human-Centered AI Research, Monday May 19th @ 10am Central

Clemson University's Bart Knijnenburg is presenting the talk, Conducting Responsible Human-Centered AI Research, on Monday May 19th at 10am, Central time.

Please register here.

With the recent rise of LLMs, it becomes increasingly possible (and necessary) to conduct human-subjects studies with AI tools. However, integrating AI in human-subjects research raises concerns about participant privacy, safety, and the confidentiality of research data. These concerns are exacerbated by the fact that many AI researchers have limited experience with human-subjects research, and most ethics review boards (e.g. IRBs) have little knowledge about AI.

In this talk, I present findings from a series of investigations into human-centered AI research studies: our team systematically reviewed AI-related studies published at the ACM SigCHI conference, we interviewed researchers who conducted human-subjects studies with LLMs, and we conducted a scenario-based study to unpack study participants' opinions about AI-based research.  

We find that (1) many papers lack important details about basic study parameters, (2) researchers often fail to disclose the use of LLMs to research participants, and (3) participants are sensitive to study parameters like anonymization, data retention and consent, but are unaware of the threats of third-party data sharing and of data leakage through model training. I will discuss these findings, and more, during the talk.

Speaker Bio: 

Dr. Bart Knijnenburg is an Associate Professor in Human-Centered Computing at Clemson University where he co-directs the Humans And Technology Lab (HATLab). His research explores the societal, social, and psychological aspects of human interaction with intelligent systems. His research has been funded by the NSF (including a CAREER award), the Department of Defense, the Department of Education, the Department of Justice, and corporate gifts.

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Join Trusted CI's announcements mailing list for information about upcoming events. To submit topics or requests to present, see our call for presentations. Archived presentations are available on our site under "Past Events."