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ZeBRA: Precisely Destroying Neural Networks with Zero-Data Based Repeated Bit Flip Attack
1 November 2021
Dahoon Park
K. Kwon
Sunghoon Im
Jaeha Kung
AAML
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Papers citing
"ZeBRA: Precisely Destroying Neural Networks with Zero-Data Based Repeated Bit Flip Attack"
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Fooling a Real Car with Adversarial Traffic Signs
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Shachar Mendelowitz
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Siyue Wang
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Yunsi Fei
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46
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Diana Marculescu
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Learning Gentle Object Manipulation with Curiosity-Driven Deep Reinforcement Learning
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Bo Chen
Ruoming Pang
Vijay Vasudevan
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Andrew G. Howard
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Xiangyu Zhang
Haitao Zheng
Jian Sun
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PRADA: Protecting against DNN Model Stealing Attacks
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MobileNetV2: Inverted Residuals and Linear Bottlenecks
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Menglong Zhu
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Is Deep Learning Safe for Robot Vision? Adversarial Examples against the iCub Humanoid
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Fabio Roli
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52
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Adversarial Transformation Networks: Learning to Generate Adversarial Examples
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Ian S. Fischer
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Grad-CAM: Visual Explanations from Deep Networks via Gradient-based Localization
Ramprasaath R. Selvaraju
Michael Cogswell
Abhishek Das
Ramakrishna Vedantam
Devi Parikh
Dhruv Batra
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324
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Samy Bengio
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DeepFool: a simple and accurate method to fool deep neural networks
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You Only Look Once: Unified, Real-Time Object Detection
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S. Divvala
Ross B. Girshick
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Joan Bruna
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Rob Fergus
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