Description:
Explore a 16-minute IEEE conference talk on certifiably robust object detection techniques that counter patch hiding attacks. Delve into the innovative ObjectSeeker method, which employs patch-agnostic masking to enhance detection reliability. Learn from Princeton University researchers Chong Xiang, Alexander Valtchanov, Saeed Mahloujifar, and Prateek Mittal as they present their findings on improving object detection systems' resilience against adversarial manipulations.
ObjectSeeker - Certifiably Robust Object Detection against Patch Hiding Attacks via Patch-agnostic Masking
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#Conference Talks
#IEEE Symposium on Security and Privacy
#Information Security (InfoSec)
#Cybersecurity
#Computer Science
#Artificial Intelligence
#Computer Vision
#Object Detection
#Machine Learning
#Adversarial Machine Learning