2018 MILCOM

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

30 Oct 18
2:00 PM - 3:15 PM

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

Detecting Adversarial Examples Using Data Manifolds

Susmit Jha (SRI International, USA); Uyeong Jang (University of Wisconsin, Madison, USA); Somesh Jha (University of Wisconsin, USA); Brian Jalaian (US Army Research Laboratory, USA)

On the Defense Against Adversarial Examples Beyond the Visible Spectrum

Anthony Ortiz and Olac Fuentes (University of Texas at El Paso, USA); Dalton Rosario (US Army Research Laboratory, USA); Christopher Kiekintveld (University of Texas at El Paso, USA)

Adversarial Examples Against the Deep Learning Based Network Intrusion Detection Systems

Kaichen Yang (University of Florida, P.R. China); Jianqing Liu (University of Alabama in Huntsville, USA); Chi Zhang (University of Science and Technology of China, P.R. China); Yuguang Fang (University of Florida, USA)