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Today's proliferation of powerful facial recognition systems poses a real threat to personal privacy.
Gotta catch ’em all: Using honeypots to catch adversarial attacks on neural networks
1904
Earlier work this paper cites.
The JPEG still picture compression standard
1992
Earlier work this paper cites.
Multiscale structural similarity for image quality assessment
2003
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Image quality assessment: From error visibility to structural similarity
2004
Earlier work this paper cites.
Preserving privacy by de-identifying face images
2005
Earlier work this paper cites.
Numerical optimization, series in operations research and financial engineering
2006
Earlier work this paper cites.
Differential privacy: A survey of results
2008
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A practical attack to de-anonymize social network users
2010
Earlier work this paper cites.
Intriguing properties of neural networks
2013
Earlier work this paper cites.
You are how you click: Clickstream analysis for sybil detection
2013
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Explaining and harnessing adversarial examples
2014
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A data-driven approach to cleaning large face datasets
2014
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Uncovering social network sybils in the wild
2014
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Learning face representation from scratch
2014
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How transferable are features in deep neural networks?
2014
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Model inversion attacks that exploit confidence information and basic countermeasures
2015
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Deep learning with differential privacy
2016
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Adversarial examples in the physical world
2016
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Having multiple online identities is more normal than you think
2016
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Delving into transferable adversarial examples and black-box attacks
2016
Earlier work this paper cites.
Transferability in machine learning: From phenomena to black-box attacks using adversarial samples
2016
Earlier work this paper cites.
Accessorize to a crime: Real and stealthy attacks on state-of-the-art face recognition
2016
Earlier work this paper cites.
Auror: Defending against poisoning attacks in collaborative deep learning systems
2016
Cited alongside, same era.
Adversarial examples are not easily detected: Bypassing ten detection methods
2017
Cited alongside, same era.
Towards evaluating the robustness of neural networks
2017
Cited alongside, same era.
Detecting adversarial samples from artifacts
2017
Cited alongside, same era.
Densely connected convolutional networks
2017
Cited alongside, same era.
Towards deep learning models resistant to adversarial attacks
2017
Cited alongside, same era.
Privacy-Protective-GAN for face de-identification
2018
Later among the works it cites.
Valley attorney: Facebook facial recognition carries identity theft risk
2019
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Why do adversarial attacks transfer? explaining transferability of evasion and poisoning attacks
2019
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Strong baseline defenses against clean-label poisoning attacks
2019
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How photos of your kids are powering surveillance technology
2019
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Connecting the digital and physical world: Improving the robustness of adversarial attacks
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Level playing field for million scale face recognition
2017
Cited alongside, same era.
Machine learning models that remember too much
2017
Cited alongside, same era.
Certified defenses for data poisoning attacks
2017
Cited alongside, same era.
Inception-v4, inception-resnet and the impact of residual connections on learning
2017
Cited alongside, same era.
Generative poisoning attack method against neural networks
2017
Cited alongside, same era.
VGGFace2: A dataset for recognising faces across pose and age
2018
Cited alongside, same era.
2019
Later among the works it cites.
Advhat: Real-world adversarial attack on arcface face id system
2019
Later among the works it cites.
Anonymousnet: Natural face de-identification with measurable privacy
2019
Later among the works it cites.
Hiding faces in plain sight: Disrupting AI face synthesis with adversarial perturbations
2019
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Brazilian retailer quizzed over facial recognition tech
2019
Later among the works it cites.
Facial recognition at u.s. airports. should you be concerned?
2019
Later among the works it cites.
Police use of facial recognition is accepted by British court
2019
Later among the works it cites.
Tensorclog: An imperceptible poisoning attack on deep neural network applications
2019
Later among the works it cites.
Fooling automated surveillance cameras: adversarial patches to attack person detection
2019
Later among the works it cites.
Neural cleanse: Identifying and mitigating backdoor attacks in neural networks
2019
Later among the works it cites.
Making an invisibility cloak: Real world adversarial attacks on object detectors
2019
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Neural network inversion in adversarial setting via background knowledge alignment
2019
Later among the works it cites.
Transferable clean-label poisoning attacks on deep neural nets
2019
Later among the works it cites.
Wearable microphone jamming
2020
Closest in time.
The secretive company that might end privacy as we know it
2020
Closest in time.
Clearview AI’s facial-recognition app is a nightmare for stalking victims
2020
Closest in time.