all InfoSec news
Detecting Backdoor Poisoning Attacks on Deep Neural Networks by Heatmap Clustering. (arXiv:2204.12848v1 [cs.LG])
April 28, 2022, 1:20 a.m. | Lukas Schulth, Christian Berghoff, Matthias Neu
cs.CR updates on arXiv.org arxiv.org
Predicitions made by neural networks can be fraudulently altered by so-called
poisoning attacks. A special case are backdoor poisoning attacks. We study
suitable detection methods and introduce a new method called Heatmap
Clustering. There, we apply a $k$-means clustering algorithm on heatmaps
produced by the state-of-the-art explainable AI method Layer-wise relevance
propagation. The goal is to separate poisoned from un-poisoned data in the
dataset. We compare this method with a similar method, called Activation
Clustering, which also uses $k$-means clustering …
More from arxiv.org / cs.CR updates on arXiv.org
Jobs in InfoSec / Cybersecurity
SOC 2 Manager, Audit and Certification
@ Deloitte | US and CA Multiple Locations
Security Engineer 2
@ Oracle | BENGALURU, KARNATAKA, India
Oracle EBS DevSecOps Developer
@ Accenture Federal Services | Arlington, VA
Information Security GRC Specialist - Risk Program Lead
@ Western Digital | Irvine, CA, United States
Senior Cyber Operations Planner (15.09)
@ OCT Consulting, LLC | Washington, District of Columbia, United States
AI Cybersecurity Architect
@ FactSet | India, Hyderabad, DVS, SEZ-1 – Orion B4; FL 7,8,9,11 (Hyderabad - Divyasree 3)