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09/20/2022
Leveraging Local Patch Differences in Multi-Object Scenes for Generative Adversarial Attacks
State-of-the-art generative model-based attacks against image classifier...
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09/20/2022
GAMA: Generative Adversarial Multi-Object Scene Attacks
The majority of methods for crafting adversarial attacks have focused on...
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03/29/2022
Zero-Query Transfer Attacks on Context-Aware Object Detectors
Adversarial attacks perturb images such that a deep neural network produ...
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12/06/2021
Context-Aware Transfer Attacks for Object Detection
Blackbox transfer attacks for image classifiers have been extensively st...
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10/24/2021
ADC: Adversarial attacks against object Detection that evade Context consistency checks
Deep Neural Networks (DNNs) have been shown to be vulnerable to adversar...
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08/19/2021
Exploiting Multi-Object Relationships for Detecting Adversarial Attacks in Complex Scenes
Vision systems that deploy Deep Neural Networks (DNNs) are known to be v...
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11/03/2020
You Do (Not) Belong Here: Detecting DPI Evasion Attacks with Context Learning
As Deep Packet Inspection (DPI) middleboxes become increasingly popular,...
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08/26/2020
Measurement-driven Security Analysis of Imperceptible Impersonation Attacks
The emergence of Internet of Things (IoT) brings about new security chal...
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01/29/2020
A4 : Evading Learning-based Adblockers
Efforts by online ad publishers to circumvent traditional ad blockers to...
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10/22/2018
IoTSan: Fortifying the Safety of IoT Systems
Today's IoT systems include event-driven smart applications (apps) that ...
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07/02/2018
