SecDev is a venue for presenting ideas, research, and experience about how to develop secure systems.
SecDev is distinguished by its focus on how to “build security in” (and not simply to discover the absence of security). Its goal is to encourage and disseminate ideas for secure system development among both academia and industry. Developers have valuable experiences and ideas that can inform academic research, and researchers have concepts, studies, and even code and tools that could benefit developers. We anticipate that attendees from academic conferences like IEEE S&P, USENIX Security, PLDI, FSE, ISSTA, SOUPS, and many others could contribute ideas to SecDev, as could attendees of industrial conferences like AppSec, RSA, Black Hat, and Shmoocon.
|Papers||Paper and tutorial submission (extended):||11:59 PM, March 12, 2018 PST|
|Paper and tutorial notification:||May 15, 2018|
|Practitioner’s Session Abstract submission:||July 20, 2018 [Firm]||Practitioner’s Session Notification:||August 3, 2018|
|Camera-ready versions due:||TBA|
|Posters||Poster submission deadline:||August 25, 2018|
|Poster notification:||August 30, 2018|
|Student Travel Grants||Applications Due:||June 1, 2018|
|Decisions Announced:||June 29, 2018|
|Registration||Early Bird Rate Ends:||August 17, 2018|
|Hotel||Reservation Deadline:||August 29, 2018, 5pm EST|
Professor, University of California, Berkeley
Dawn Song is a Professor in the Department of Electrical Engineering and Computer Science at UC Berkeley. Her research interest lies in deep learning, security, and blockchain. She has studied diverse security and privacy issues in computer systems and networks, including areas ranging from software security, networking security, distributed systems security, applied cryptography, blockchain and smart contracts, to the intersection of machine learning and security. She is the recipient of various awards including the MacArthur Fellowship, the Guggenheim Fellowship, the NSF CAREER Award, the Alfred P. Sloan Research Fellowship, the MIT Technology Review TR-35 Award, the George Tallman Ladd Research Award, the Okawa Foundation Research Award, the Li Ka Shing Foundation Women in Science Distinguished Lecture Series Award, the Faculty Research Award from IBM, Google and other major tech companies, and Best Paper Awards from top conferences in Computer Security and Deep Learning. She obtained her Ph.D. degree from UC Berkeley. Prior to joining UC Berkeley as a faculty, she was a faculty at Carnegie Mellon University from 2002 to 2007.
Professor, Chair of Computer Science, Tufts University
Kathleen Fisher is a Professor in and the Chair of the Computer Science Department at Tufts. Previously, she was a program manager at DARPA where she started and managed the HACMS and PPAML programs, a Consulting Faculty Member in the Computer Science Department at Stanford University, and a Principal Member of the Technical Staff at AT&T Labs Research. Kathleen’s research focuses on advancing the theory and practice of programming languages and on applying ideas from the programming language community to the problem of ad hoc data management. The main thrust of her work has been in domain-specific languages to facilitate programming with massive amounts of ad hoc data. Recently, she has been exploring synergies between machine learning and programming languages and studying how to apply advances in programming languages to the problem of building more secure systems.
Kathleen is an ACM Fellow. She has served as Program Chair for OOPSLA ICFP, CUFP, and FOOL, and as General Chair for ICFP 2015. She is an Associate Editor for TOPLAS and a former editor of the Journal of Functional Programming. Kathleen is a past Chair of the ACM Special Interest Group in Programming Languages (SIGPLAN) and past Co-Chair of CRA’s Committee on the Status of Women (CRA-W). Kathleen is a recipient of the SIGPLAN Distinguished Service Award. She is Vice Chair of DARPA’s ISAT Study Group and a member of the Board of Trustees of Harvey Mudd College.