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The security of object detection systems has attracted increasing attention, especially when facing adversarial patch attacks.
The pascal visual object classes (voc) challenge
Mark Everingham, Luc Van Gool, Christopher KI Williams, John Winn, and Andrew Zisserman · 2010
Earlier work this paper cites.
Intriguing properties of neural networks
Christian Szegedy, Wojciech Zaremba, Ilya Sutskever, Joan Bruna, Dumitru Erhan, Ian Goodfellow, and Rob Fergus · 2014
Earlier work this paper cites.
Explaining and harnessing adversarial examples
Ian J. Goodfellow, Jonathon Shlens, and Christian Szegedy · 2015
Earlier work this paper cites.
Adversarial examples in the physical world
Alexey Kurakin, Ian J. Goodfellow, and Samy Bengio · 2017
Earlier work this paper cites.
Robust physical-world attacks on deep learning visual classification
Kevin Eykholt, Ivan Evtimov, Earlence Fernandes, Bo Li, Amir Rahmati, Chaowei Xiao, Atul Prakash, Tadayoshi Kohno, and Dawn Song · 2018
Earlier work this paper cites.
On visible adversarial perturbations & digital watermarking
Jamie Hayes · 2018
Earlier work this paper cites.
Towards deep learning models resistant to adversarial attacks
Aleksander Madry, Aleksandar Makelov, Ludwig Schmidt, Dimitris Tsipras, and Adrian Vladu · 2018
Cited alongside, same era.
Certified defenses against adversarial examples
Aditi Raghunathan, Jacob Steinhardt, and Percy Liang · 2018
Cited alongside, same era.
Adversarial generative nets: Neural network attacks on state-of-the-art face recognition
Mahmood Sharif, Sruti Bhagavatula, Lujo Bauer, and Michael K. Reiter · 2018
Cited alongside, same era.
On physical adversarial patches for object detection
Mark Lee and J. Zico Kolter · 2019
Cited alongside, same era.
Local gradients smoothing: Defense against localized adversarial attacks
Muzammal Naseer, Salman Khan, and Fatih Porikli · 2019
Cited alongside, same era.
Fooling automated surveillance cameras: Adversarial patches to attack person detection
Simen Thys, Wiebe Van Ranst, and Toon Goedeme · 2019
Later among the works it cites.
Minority reports defense: Defending against adversarial patches
Michael McCoyd, Won Park, Steven Chen, Neil Shah, Ryan Roggenkemper, Minjune Hwang, Jason Xinyu Liu, and David A. Wagner · 2020
Later among the works it cites.
Role of spatial context in adversarial robustness for object detection
Aniruddha Saha, Akshayvarun Subramanya, Koninika Patil, and Hamed Pirsiavash · 2020
Later among the works it cites.
Defending against physically realizable attacks on image classification
Tong Wu, Liang Tong, and Yevgeniy Vorobeychik · 2020
Later among the works it cites.
Patchguard: Provable defense against adversarial patches using masks on small receptive fields
Chong Xiang, Arjun Nitin Bhagoji, Vikash Sehwag, and Prateek Mittal · 2020
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