DLS 2020: 3rd Deep Learning and Security Workshop co-located with the 41th IEEE Symposium on Security and Privacy San Francisco, CA, United States, May 21-23, 2020 |
Conference website | https://www.ieee-security.org/TC/SPW2020/DLS/ |
Submission link | https://easychair.org/conferences/?conf=dls2020 |
Abstract registration deadline | January 7, 2020 |
Submission deadline | January 13, 2020 |
3rd Deep Learning and Security Workshop
co-located with the 41th IEEE Symposium on Security and Privacy
Important Dates
- Paper submission deadline: January 13, 2020, 11:59 PM (AoE, UTC-12)
- Acceptance notification: February 24, 2020
- Camera-ready due: March 9, 2020
- Workshop (tentative date): May 21, 2020
Overview
Deep learning and security have made remarkable progress in the last years. On the one hand, neural networks have been recognized as a promising tool for security in academia and industry. On the other hand, the security of deep learning has gained focus in research, the robustness of neural networks has recently been called into question.
This workshop strives for bringing these two complementary views together by (a) exploring deep learning as a tool for security as well as (b) investigating the security of deep learning.
List of Topics
DLS seeks contributions on all aspects of deep learning and security. Topics of interest include (but are not limited to):
Deep Learning
- Deep learning for program embedding and similarity
- Deep program learning
- Modern deep NLP
- Recurrent network architectures
- Neural networks for graphs
- Neural Turing machines
- Semantic knowledge-bases
- Generative adversarial networks
- Relational modeling and prediction
- Deep reinforcement learning
- Attacks against deep learning
- Resilient and explainable deep learning
Computer Security
- Computer forensics
- Spam detection
- Phishing detection and prevention
- Botnet detection
- Intrusion detection and response
- Malware identification, analysis, and similarity
- Data anonymization/ de-anonymization
- Security in social networks
- Vulnerability discovery
Submission Guidelines
You are invited to submit papers of up to six pages, plus one page for references. To be considered, papers must be received by the submission deadline (see "Important Dates"). Submissions must be original work and may not be under submission to another venue at the time of review. Papers must be formatted for US letter (not A4) size paper. The text must be formatted in a two-column layout, with columns no more than 9.5 in. tall and 3.5 in. wide. The text must be in Times font, 10-point or larger, with 11-point or larger line spacing. Authors are strongly recommended to use the latest IEEE conference proceedings templates. Failure to adhere to the page limit and formatting requirements are grounds for rejection without review. Submissions must be in English and properly anonymized.
Committees
Workshop Chair
Nikolaos Vasiloglou - Symantec Center for Advanced Machine Learning
Program Committee Chair
Battista Biggio, University of Cagliari
Program Committee Co-Chair
Nicholas Carlini, Google Brain
Web and Publicity Chair
Ambra Demontis, Ambra Demontis
Steering Committee
Konrad Rieck, TU Braunschweig
Roberto Perdisci, University of Georgia & Georgia Institute of Technology
David Evans, University of Virginia
Technical Program Committee
TBA
Contact
All questions about submissions should be emailed to dlsec2020@gmail.com