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By Tom Fleischman, Cornell Chronicle

Cornell Tech researchers have developed a mechanism for preserving anonymity in encrypted messaging – which conceals message content but might not cloak the sender’s identity – while simultaneously blocking unwanted or abusive messages.

Doctoral student and co-lead author Nirvan Tyagi presented the group’s paper, “Orca: Blocklisting in Sender-Anonymous Messaging,” at the 31st USENIX (Advanced Computing Systems Association) Symposium, held Aug. 10-12 in Boston.

Co-authors included Tom Ristenpart, professor of computer science at Cornell Tech and in the Cornell Ann S. Bowers College of Computing and Information Science; Julia Len, doctoral student in computer science; and Ian Miers, associate professor of computer science at the University of Maryland and a former postdoctoral associate at Cornell Tech.

This work is a continuation of research funded by a five-year, $3 million grant from the National Science Foundation, the goal of which is to take significant steps toward safer online communication. Ristenpart is principal investigator of the project, “Privacy-Preserving Abuse Prevention for Encrypted Communications Platforms.”

Platforms such as Signal, WhatsApp and Facebook Messenger rely on end-to-end encrypted (E2EE) messaging to preserve the confidentiality of the message, but user anonymity is not guaranteed. Signal recently introduced an anonymity-preserving feature, but it has been found to be susceptible to attack.

“While they prevent content from being leaked to the platform,” Tyagi said, “this doesn’t prevent other types of leakage of metadata.”

While E2EE messaging provides strong confidentiality of the messages being sent, the platform can learn the identities of both the sender and recipient of every message sent over the network. Signal, a messaging app released in 2014 which now boasts more than 40 million users, has recently introduced a “sealed sender” protocol that ensures the sender’s identity is never revealed to the platform.

This highlights a key tension in sender-anonymous systems: sender anonymity, while mitigating potentially abusive messages. E2E encryption by itself makes certain types of abuse mitigation more challenging, and sender anonymity only complicates those efforts. One example of abuse mitigation that is complicated by sender anonymity is blocklisting.

“That (sender-anonymous sender blocklisting) is a bit of an oxymoron,” Tyagi said, “because we want the platform to be able to filter based on sender identities, but we also want sender anonymity from the platform.”

With Orca, message recipients would register an anonymized blocklist with the platform. Senders construct messages that can be verified by the platform as being attributable to someone not on the blocklist.

Verification is achieved through group signatures, which allow users to sign messages anonymously on behalf of a group. The platform registers individual users, and the group’s opening authority – the recipient – can trace the identity of each individual user.

If the sender is on the blocklist, or if the message is malformed, the platform rejects the message. But if the message is delivered, the recipient is guaranteed to be able to identify the sender.

Orca takes this efficiency one step further: Instead of creating and verifying a group signature for every message sent, the group signature will only be used periodically to mint new batches of one-time-use sender tokens from the platform. Messages can be sent by including a valid token for a recipient; these tokens, or access keys, are much more efficient for the platform to verify and require only a check against a list of used or blocked tokens.

“When the sender sends a message, using cryptography they prove to the platform that they’re an authorized sender for the recipient and not on the recipient’s blocklist,” Tyagi said. “And they can do that in a way where they can still hide their identity from the platform.”

Tyagi said this type of safeguard could be useful in a number of scenarios.

“Perhaps you’re a whistleblower at a company, and you contact a journalist, which for most people is not a common occurrence,” Tyagi said. “Then a big story appears; just the fact that someone from that company has been in recent contact with the journalist could raise a red flag.

“Or in the medical realm,” he said, “just by the fact that you’re communicating with, say, a cardiologist could reveal confidential information about your health.”

Future work will address the computational challenge of making sure a single cryptographic identity corresponds to a single human. It’s one of many problems facing computer scientists as they address the tension between anonymity and abuse mitigation.

“Increased privacy can harm the ability to do certain types of abuse mitigation and accountability,” Tyagi said. “The question is, can we make that tradeoff a little less costly with even better cryptography? And in some cases, we can.”

This story originally appeared in the Cornell Chronicle.



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Researchers studying cutting-edge carbon removal and storage methods, novel additive manufacturing techniques and technologies that support positive emotion regulation are among the six Cornell faculty members who recently received National Science Foundation Faculty Early Career Development Awards.

Over the next five years, each will receive approximately $400,000 to $600,000 from the program, which supports early-career faculty “who have the potential to serve as academic role models in research and education and to lead advances in the mission of their department or organization,” according to the NSF. Each funded project must include an educational component.

The recipients:

  • Greeshma Gadikota, assistant professor and Croll Sesquicentennial Fellow in the School of Civil and Environmental Engineering, will use her award to further her research on carbon removal and storage at massive scales, crucial to limiting the detrimental environmental impacts of climate change. Her project will investigate the crystallization mechanisms of calcium and magnesium carbonate crystallization in confined fluids within architected siliceous nanochannels, with sizes of 2 to 20 nanometers. Carbonate crystallization mechanisms in confined fluids will be investigated in less reactive silica interfaces and more reactive calcium and magnesium silicate surfaces. The educational component will target underrepresented K-12 students in science education and communication through illustrative workbooks, mentoring videos and hands-on experimental modules.
  • Mostafa Hassani, assistant professor in the Sibley School of Mechanical and Aerospace Engineering, will use his award to advance the field of additive manufacturing (AM), which is used in high-value metallic component manufacture but is sometimes limited by high process temperatures (often beyond the melting point of component materials) and the large associated thermal gradients and rapid cooling rates. This project will further the understanding of non-melting metal AM, such as cold spray technology, in which tiny powder particles are accelerated to a supersonic speed to collide, bond together and build up underlying materials upon impact. The research is aimed at bolstering the national defense and other industries through enabling sustainable and agile manufacturing and repair at the point of need. The team will engage educators and underrepresented K-12 students and educators through hands-on activities with a designed additive manufacturing toolkit.
  • Volodymyr Kuleshov, assistant professor at the Jacobs Technion-Cornell Institute at Cornell Tech and in computer science in the Cornell Ann S. Bowers College of Computing and Information Science, will use his award to try to improve genome sequencing through novel techniques in artificial intelligence and machine learning. The cost of genome sequencing has decreased significantly over the past two decades, enabling the creation of datasets comprising millions of genomes of plants, animals and humans, but current methods for analyzing genetic data often struggle with the size and the complexity of these data sets. This project aims to develop new mathematical models of genomic sequences that will serve as the basis for algorithms for genetic data analysis, including for tasks such as analyzing human ancestry and understanding the effect of genetics on disease.
  • Yifan Peng, assistant professor of population health sciences at Weill Cornell Medicine, will use his funding in an effort to improve the method for generating clinical reports through novel informatics and data science techniques. The Peng team’s approach will leverage the wealth of information from electronic health records (EHR) to profoundly understand the role of natural language, image analysis and deep learning in report generation, with the goal of improving both workflow efficiency and health care outcomes. The new reporting system will enhance communication between radiologists and referral physicians, particularly in large and heterogeneous EHR databases. The project will closely integrate research with education by launching a graduate Natural Language Processing and Health course, and by supporting several capstone and specialization projects.
  • Emma Pierson, assistant professor of computer science at the Jacobs Technion-Cornell Institute at Cornell Tech and the Technion, will use her award to help reduce bias in health care through more equitable decision-making. Enormous health inequality has led to Americans with high incomes living up to a decade longer, on average, than those from the lowest income levels, and biased medical decision-making contributes to this health inequality. This research will make medical decision-making fairer by statistically analyzing the decisions made both by humans and by algorithms, identifying sources of bias and proposing solutions, making health care both fairer and more efficient by allocating medical resources where they will do the most good. The project will also create a publicly available class on how to design fair algorithms.
  • Jay Yoon, assistant professor of human centered design in the College of Human Ecology, will use his award to advance human-centered design research by integrating positive emotion regulation theory into the design of future technologies, and discover new understandings of the relationships between technologies, activities, positive emotions and well-being. Use of technologies such as smartphones can engender pleasurable moments, but they do not inherently lead to improved well-being and can devolve from exciting to mundane. This project will investigate designing technologies to support positive emotion regulation in young adults, a population whose mental health can be impacted by limited emotion regulation skills and challenges to accessing traditional health interventions. The project will also promote STEM education for underserved students through novel community-engagement programs.

By Reeve Hamilton

Cornell Tech and Cornell Engineering are preparing to build upon, and benefit from, their complementary strengths in an unprecedented way, their respective deans announced on Wednesday. They revealed that Silvia Ferrari, the John Brancaccio Professor of Mechanical and Aerospace Engineering, will serve as the inaugural associate dean for cross-campus engineering research.

Reporting to the deans at both Cornell Engineering and Cornell Tech, this newly created role is designed to develop impactful initiatives and cross-campus research partnerships that lead to research centers of excellence that span the Ithaca and New York City campuses, as well as the Technion.

“We are thrilled to have Silvia step into this much-needed leadership role, which will catalyze a number of impactful projects and elevate the work we do throughout Cornell,” said Greg Morrissett, the Jack and Rilla Neafsey Dean and Vice Provost at Cornell Tech. “This is a great example of a ‘One Cornell’ mindset in action.”

The focus of the new associate dean’s agenda is expected to be on big ideas in priority research areas, such as autonomy, robotics, urban technology, and neuroscience. These are areas where Ferrari has already demonstrated intellectual leadership and ability to organize successful multi-investigator research teams.

Ferrari’s own research focuses on active perception, computational intelligence, and sensorimotor learning and control theory. She currently serves as the Director of the Laboratory for Intelligent Systems and Controls (LISC) based in Ithaca and Co-director of the Cornell-Unibo Věho Institute on Vehicle Intelligence at Cornell Tech.

In perhaps an early demonstration of work she will build upon as associate dean, Ferrari recently organized the successful Autonomy and Mobility in Engineered and Natural Environments Workshop, which was held on Roosevelt Island and highlighted the latest research and proposed solutions from the smart cities and urban technology academic communities.

“Silvia’s work lies at the intersection of multiple emergent fields of science and technology that underpin priority research directions both at Cornell Engineering and Cornell Tech,” said Lynden Archer, the Joseph Silbert Dean of Engineering. “Her familiarity with both campuses, as well as her proven ability to forge strong connections with partners in industry, government, and internationally, make her ideally suited to lead our inter-campus research partnership.”

Prior to joining Cornell, Ferrari was professor of engineering and computer science at Duke University, where she founded and directed an NSF Integrative Graduate Education and Research Traineeship and Fellowship program on Wireless Intelligent Sensor Networks. She received her B.S. degree from Embry-Riddle Aeronautical University and M.A. and Ph.D. degrees from Princeton University.

“One of the main reasons I chose Cornell is that our research is designed to be so interdisciplinary, which is ideal for the future of engineering,” Ferrari said. “Because of our culture, bringing Cornell Engineering and Cornell Tech together like this will create tremendous opportunities. I am eager to hear ideas from the faculty and students throughout the Cornell community as we begin this new phase of engineering research across our campuses.”

This story originally appeared in the Cornell Chronicle.



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