Exploring Adversarial Examples in Malware Detection
Exploring Adversarial Examples in Malware Detection
Octavian Suciu (University of Maryland, College Park)
Presented at the
2nd Deep Learning and Security Workshop
May 23, 2019
at the 2019 IEEE Symposium on Security & Privacy
San Francisco, CA
ABSTRACT
The convolutional neural network (CNN) architecture is increasingly being applied to new domains, such as malware detection, where it is able to learn
7 views
37
11
3 weeks ago 00:02:00 1
Unveiling the Mystical Union: A Journey Beyond Duality with Barbara Simons
4 weeks ago 00:01:01 1
DayZ Frostline - Expansion Announcement Teaser
4 weeks ago 00:01:31 1
Venom 3: The Last Dance (2024) - Full Trailer | Tom Hardy
1 month ago 00:21:13 1
The Shame of Those Who Mistreated You | 7 Reasons They Can’t Face You
1 month ago 00:20:38 1
Chosen Ones, Enemies Thought It Was FUNNY To Destroy You. Until God Gave Them A DIVINE PAYBACK
1 month ago 00:05:04 1
“Jordan Peterson EXPLAINS Andrew Tate Perfectly!!“
1 month ago 00:36:22 1
Mysterious Chinese Unmanned Aircraft Ready to Shape WW3
1 month ago 00:04:16 1
GTA+ Membership Benefits - October 2024
1 month ago 00:21:20 1
Chosen ones, YOU SAVED YOUR BEST TRICK FOR LAST….AND NOBODY EVEN SAW IT COMING!
1 month ago 00:57:22 1
Grand Theft Auto V ONLINE PARTS 2024 09 24
2 months ago 00:01:00 27
Blasphemous - Mobile Announcement & Pre-Order/Registration Trailer
2 months ago 00:15:09 1
How Lucifer Became Satan: The Fall That Shook the Heavens!
2 months ago 00:02:50 2
The Fantastic Four: First Steps -1950’s Super Panavision 70