2018 MILCOM

Technical Paper Session: BDML-4A: Adversarial Machine Learning for Tactical Networks I (Room Washington)

30 Oct 18
9:40 AM - 12:00 PM

Tracks: Track 5: Big Data and ML for Tactical Networks, Unclassified Technical Paper Sessions

Spectrum Data Poisoning with Adversarial Deep Learning

Yi Shi (Intelligent Automation Inc., USA); Tugba Erpek (Virginia Tech & Intelligent Automation, Inc., USA); Yalin E Sagduyu (Intelligent Automation, Inc., USA); Jason Hongjun Li (Intelligent Automation Inc., USA)

Network Traffic Obfuscation: An Adversarial Machine Learning Approach

Gunjan Verma and Ertugrul Necdet Ciftcioglu (US Army Research Laboratory, USA); Ryan Sheatsley (Pennsylvania State University, USA); Kevin S Chan and Lisa Scott (US Army Research Laboratory, USA)

Towards the Development of Robust Deep Neural Networks in Adversarial Settings

Todd Huster, Cho-Yu Jason Chiang and Ritu Chadha (Vencore Labs, USA); Ananthram Swami (Army Research Lab., USA)

Enablers of Adversarial Attacks in Machine Learning

Rauf Izmailov (Applied Communication Sciences, USA); Shridatt Sugrim and Ritu Chadha (Vencore Labs, USA); Patrick McDaniel (Pennsylvania State University, USA); Ananthram Swami (Army Research Lab., USA)