Sponsored by USENIX, the Advanced Computing Systems Association.
The 2019 USENIX Security and AI Networking Conference (ScAINet '19) will be co-located with the 28th USENIX Security Symposium and will take place on August 12, 2019, at the Hyatt Regency Santa Clara in Santa Clara, CA, USA.
- Submissions due: Thursday, March 28, 2019
- Notification to submitters: Friday, June 7, 2019
ScAINet: At the Frontier of AI, ML, and Cybersecurity
ScAINet is a single track symposium of cutting edge and thought-inspiring talks covering a wide range of topics in ML/AI by and for security. The format will be similar to Enigma, but with a focus on security and AI. Our goal is to clearly explain emerging challenges, threats, and defenses at the intersection of machine learning and cybersecurity, and to build a rich and vibrant community which brings academia and industry together under the same roof. We view diversity as a key enabler for this goal and actively work to ensure that the ScAINet community encourages and welcomes participation from all employment sectors, racial and ethnic backgrounds, nationalities, and genders.
ScAINet is committed to fostering an open, collaborative, and respectful environment. ScAINet and USENIX are also dedicated to open science and open conversations, and will make all talk media freely available on the USENIX website.
Call for Speakers
We solicit proposals for original talks. All talks will be 25 minutes long, followed by 5 minutes for Q&A. The program committee will select presentations that illuminate big ideas and problems, that clearly describe the state of the art, and that enrich discussion. Ideal talks provide technical or scientific depth combined with practical impact, while still being accessible to a broad audience. Our expected attendees include, but are not limited to, researchers from industry and academia, data scientists, engineers, security-oriented managers, and security analysts.
Our program benefits from a diversity of topics and perspectives. We're interested in talks that cover new insights into popular topics (e.g., adversarial machine learning, differential privacy, fraud and fake account detection) as well as emerging or more niche areas (e.g., representation learning for security data, economic analysis of the threat landscape, reinforcement learning for better fuzzing). We welcome both talks that share pragmatic advice and those that explain high-risk research. For examples of previous topics, view the ScAINet '18 program.
ScAINet emphasizes presentation quality, so we are looking for great explainers: those who can describe complex topics and convey their excitement while maintaining the integrity of science.
To submit a talk, please prepare the following information and submit it to the online submission system, which will be available soon. Both presenters and organizers may withdraw or decline proposals for any reason, even after initial acceptance. Speakers must submit their own proposals; third-party submissions, even if authorized, will be rejected.
- Speaker Name
- Speaker Title and Company/Affiliation (if applicable)
- Speaker Email Address
- Speaker Bio
- Link to a video of a previous talk (must not be on same topic; links to private/unlisted videos okay)
- [OPTIONAL] Social networking handle(s)
- [OPTIONAL] Homepage
If accepted, we will ask you to supply the following additional info:
- A high resolution headshot
Single-speaker talks tend to be higher quality and are thus strongly preferred. If you wish to submit a talk given by multiple speakers, please make this clear in your submission and make the case for why more than one speaker will make for a better talk.
- Talk Title
- Presentation Summary. Please submit in a widely readable format, such as PDF or plain text. Please include (1) the core idea, (2) why it matters, and (3) a brief summary of prior work either by yourself or in the field. The approximate total length of the presentation summary should be 1–2 pages. We encourage participants to use the following format:
- An abstract of the talk. We will use this to understand technical merit and, if selected, for promotional purposes.
- A single main takeaway point for the talk.
- An outline for the talk.
- Are you currently submitting this topic to any other conferences held prior to ScAINet?
- Has a version of this presentation been given or accepted to any other venue or conference? If so, explain how this submission is different from your prior work.
Please contact firstname.lastname@example.org.