Web: http://arxiv.org/abs/2209.09883

Sept. 21, 2022, 1:13 a.m. | Abhishek Aich, Shasha Li, Chengyu Song, M. Salman Asif, Srikanth V. Krishnamurthy, Amit K. Roy-Chowdhury

cs.CV updates on arXiv.org arxiv.org

State-of-the-art generative model-based attacks against image classifiers
overwhelmingly focus on single-object (i.e., single dominant object) images.
Different from such settings, we tackle a more practical problem of generating
adversarial perturbations using multi-object (i.e., multiple dominant objects)
images as they are representative of most real-world scenes. Our goal is to
design an attack strategy that can learn from such natural scenes by leveraging
the local patch differences that occur inherently in such images (e.g.
difference between the local patch on the …

arxiv attacks

More from arxiv.org / cs.CV updates on arXiv.org

Research Scientists

@ ODU Research Foundation | Norfolk, Virginia

Embedded Systems Engineer (Robotics)

@ Neo Cybernetica | Bedford, New Hampshire

2023 Luis J. Alvarez and Admiral Grace M. Hopper Postdoc Fellowship in Computing Sciences

@ Lawrence Berkeley National Lab | San Francisco, CA

Senior Manager Data Scientist

@ NAV | Remote, US

Senior AI Research Scientist

@ Earth Species Project | Remote anywhere

Research Fellow- Center for Security and Emerging Technology (Multiple Opportunities)

@ University of California Davis | Washington, DC

Staff Fellow - Data Scientist

@ U.S. FDA/Center for Devices and Radiological Health | Silver Spring, Maryland

Staff Fellow - Senior Data Engineer

@ U.S. FDA/Center for Devices and Radiological Health | Silver Spring, Maryland

Senior Research Engineer, Applied Language

@ DeepMind | Mountain View, California, US

Machine Learning Engineer

@ Bluevine | Austin, TX

Lead Manager - Analytics & Data Science

@ Tide | India(Remote)

Machine Learning Engineer

@ Gtmhub | Indore, Madhya Pradesh, India