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Exposing Vulnerabilities of Deepfake Detection Systems with Robust Attacks

https://doi.org/10.1145/3464307
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Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1007/978-1-4614-0757-7_12openalex-snapshot
Counter-Forensics: Attacking Image Forensics
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Transferable Adversarial Perturbations
inferredcites →https://doi.org/10.1007/978-3-319-60240-0_2openalex-snapshot
Detection and Analysis of 2016 US Presidential Election Related Rumors on Twitter
inferredcites →https://doi.org/10.1007/s11263-019-01251-8openalex-snapshot
Realistic Speech-Driven Facial Animation with GANs
inferredcites →https://doi.org/10.1109/avss.2018.8639163openalex-snapshot
Deepfake Video Detection Using Recurrent Neural Networks
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Natural Evolution Strategies
inferredcites →https://doi.org/10.1109/cvpr.2016.262openalex-snapshot
Face2Face: Real-Time Face Capture and Reenactment of RGB Videos
inferredcites →https://doi.org/10.1109/cvpr.2017.17openalex-snapshot
Universal Adversarial Perturbations
inferredcites →https://doi.org/10.1109/cvpr.2017.195openalex-snapshot
Xception: Deep Learning with Depthwise Separable Convolutions
inferredcites →https://doi.org/10.1109/cvpr.2018.00957openalex-snapshot
Boosting Adversarial Attacks with Momentum
inferredcites →https://doi.org/10.1109/cvpr.2019.00284openalex-snapshot
Improving Transferability of Adversarial Examples With Input Diversity
inferredcites →https://doi.org/10.1109/cvpr.2019.00444openalex-snapshot
Evading Defenses to Transferable Adversarial Examples by Translation-Invariant Attacks
inferredcites →https://doi.org/10.1109/cvpr.2019.00453openalex-snapshot
A Style-Based Generator Architecture for Generative Adversarial Networks
inferredcites →https://doi.org/10.1109/cvpr.2019.00668openalex-snapshot
Curls & Whey: Boosting Black-Box Adversarial Attacks
inferredcites →https://doi.org/10.1109/cvpr33180.2016openalex-snapshot
2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)
inferredcites →https://doi.org/10.1109/cvpr42600.2020.00505openalex-snapshot
Face X-Ray for More General Face Forgery Detection
inferredcites →https://doi.org/10.1109/cvprw.2017.228openalex-snapshot
Transferable Deep-CNN Features for Detecting Digital and Print-Scanned Morphed Face Images
inferredcites →https://doi.org/10.1109/cvprw.2017.229openalex-snapshot
Two-Stream Neural Networks for Tampered Face Detection
inferredcites →https://doi.org/10.1109/cvprw50498.2020.00341openalex-snapshot
DeepFake Detection by Analyzing Convolutional Traces
inferredcites →https://doi.org/10.1109/eurosp.2016.36openalex-snapshot
The Limitations of Deep Learning in Adversarial Settings
inferredcites →https://doi.org/10.1109/icassp.2019.8682430openalex-snapshot
Universal Adversarial Attacks on Text Classifiers
inferredcites →https://doi.org/10.1109/icassp.2019.8682970openalex-snapshot
Wav2Pix: Speech-conditioned Face Generation Using Generative Adversarial Networks
inferredcites →https://doi.org/10.1109/icassp.2019.8683164openalex-snapshot
Exposing Deep Fakes Using Inconsistent Head Poses
inferredcites →https://doi.org/10.1109/icassp34228.2018openalex-snapshot
2018 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
inferredcites →https://doi.org/10.1109/iccv.2017.532openalex-snapshot
Exploiting Spatial Structure for Localizing Manipulated Image Regions
inferredcites →https://doi.org/10.1109/iccv.2019.00009openalex-snapshot
FaceForensics++: Learning to Detect Manipulated Facial Images
inferredcites →https://doi.org/10.1109/iccv.2019.00728openalex-snapshot
FSGAN: Subject Agnostic Face Swapping and Reenactment
inferredcites →https://doi.org/10.1109/iccv.2019.00955openalex-snapshot
Few-Shot Adversarial Learning of Realistic Neural Talking Head Models
inferredcites →https://doi.org/10.1109/iccv37128.2017openalex-snapshot
2017 IEEE International Conference on Computer Vision (ICCV)
inferredcites →https://doi.org/10.1109/iccvw.2019.00152openalex-snapshot
Deepfake Video Detection through Optical Flow Based CNN
inferredcites →https://doi.org/10.1109/icpr48806.2021.9412711openalex-snapshot
Video Face Manipulation Detection Through Ensemble of CNNs
inferredcites →https://doi.org/10.1109/lsp.2016.2603342openalex-snapshot
Joint Face Detection and Alignment Using Multitask Cascaded Convolutional Networks
inferredcites →https://doi.org/10.1109/sp.2016.41openalex-snapshot
Distillation as a Defense to Adversarial Perturbations Against Deep Neural Networks
inferredcites →https://doi.org/10.1109/sp.2017.49openalex-snapshot
Towards Evaluating the Robustness of Neural Networks
inferredcites →https://doi.org/10.1109/spw.2018.00009openalex-snapshot
Audio Adversarial Examples: Targeted Attacks on Speech-to-Text
inferredcites →https://doi.org/10.1109/spw47829.2019openalex-snapshot
2019 IEEE Security and Privacy Workshops (SPW)
inferredcites →https://doi.org/10.1109/tifs.2007.902661openalex-snapshot
Exposing Digital Forgeries in Interlaced and Deinterlaced Video
inferredcites →https://doi.org/10.1109/tip.2005.849938openalex-snapshot
2006 International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2006)
inferredcites →https://doi.org/10.1109/tip.2019.2895466openalex-snapshot
Hybrid LSTM and Encoder–Decoder Architecture for Detection of Image Forgeries
inferredcites →https://doi.org/10.1109/wacv48630.2021.00339openalex-snapshot
Adversarial Deepfakes: Evaluating Vulnerability of Deepfake Detectors to Adversarial Examples
inferredcites →https://doi.org/10.1109/wifs.2017.8267647openalex-snapshot
Distinguishing computer graphics from natural images using convolution neural networks
inferredcites →https://doi.org/10.1109/wifs.2018.8630761openalex-snapshot
MesoNet: a Compact Facial Video Forgery Detection Network
inferredcites →https://doi.org/10.1109/wifs.2018.8630787openalex-snapshot
In Ictu Oculi: Exposing AI Created Fake Videos by Detecting Eye Blinking
inferredcites →https://doi.org/10.1109/wifs41869.2017openalex-snapshot
2017 IEEE Workshop on Information Forensics and Security (WIFS)
inferredcites →https://doi.org/10.1109/wifs47025.2019openalex-snapshot
2019 IEEE International Workshop on Information Forensics and Security (WIFS)
inferredcites →https://doi.org/10.1111/phor.9_12391openalex-snapshot
Conference on Computer Vision and Pattern Recognition (CVPR) 2022
inferredcites →https://doi.org/10.1145/1273496openalex-snapshot
Proceedings of the 24th international conference on Machine learning
inferredcites →https://doi.org/10.1145/3052973.3053009openalex-snapshot
Practical Black-Box Attacks against Machine Learning
inferredcites →https://doi.org/10.1145/3072959.3073640openalex-snapshot
Synthesizing Obama
inferredcites →https://doi.org/10.1145/3306346.3323035openalex-snapshot
Deferred neural rendering
inferredcites →https://doi.org/10.1145/3393880openalex-snapshot
The Future of False Information Detection on Social Media
inferredcites →https://doi.org/10.1177/2056305120903408openalex-snapshot
Deepfakes and Disinformation: Exploring the Impact of Synthetic Political Video on Deception, Uncertainty, and Trust in News
inferredcites →https://doi.org/10.18653/v1/d19-1525openalex-snapshot
Adversarial Reprogramming of Text Classification Neural Networks
inferredcites →https://doi.org/10.18653/v1/p18-2006openalex-snapshot
HotFlip: White-Box Adversarial Examples for NLP
inferredcites →https://doi.org/10.21437/interspeech.2019-1353openalex-snapshot
Universal Adversarial Perturbations for Speech Recognition Systems
inferredcites →https://doi.org/10.23919/eusipco.2018.8553305openalex-snapshot
Adversarial Multimedia Forensics: Overview and Challenges Ahead
inferredcites →https://doi.org/10.48550/arxiv.1412.6572openalex-snapshot
Explaining and Harnessing Adversarial Examples
inferredcites →https://doi.org/10.48550/arxiv.1608.00853openalex-snapshot
A study of the effect of JPG compression on adversarial images
inferredcites →https://doi.org/10.48550/arxiv.1611.02770openalex-snapshot
Delving into Transferable Adversarial Examples and Black-box Attacks
inferredcites →https://doi.org/10.48550/arxiv.1703.03864openalex-snapshot
Evolution Strategies as a Scalable Alternative to Reinforcement Learning
inferredcites →https://doi.org/10.48550/arxiv.1705.02900openalex-snapshot
Keeping the Bad Guys Out: Protecting and Vaccinating Deep Learning with JPEG Compression
inferredcites →https://doi.org/10.48550/arxiv.1707.05572openalex-snapshot
Fast Feature Fool: A data independent approach to universal adversarial perturbations
inferredcites →https://doi.org/10.48550/arxiv.1711.00117openalex-snapshot
Countering Adversarial Images using Input Transformations
inferredcites →https://doi.org/10.48550/arxiv.1802.00420openalex-snapshot
Obfuscated Gradients Give a False Sense of Security: Circumventing Defenses to Adversarial Examples
inferredcites →https://doi.org/10.48550/arxiv.1811.00656openalex-snapshot
Exposing DeepFake Videos By Detecting Face Warping Artifacts
inferredcites →https://doi.org/10.48550/arxiv.1903.10346openalex-snapshot
Imperceptible, Robust, and Targeted Adversarial Examples for Automatic Speech Recognition
inferredcites →https://doi.org/10.48550/arxiv.1905.00582openalex-snapshot
Recurrent Convolutional Strategies for Face Manipulation Detection in Videos
inferredcites →https://doi.org/10.5555/2627435.2638566openalex-snapshot
Natural evolution strategies
inferredcites →https://doi.org/10.7551/mitpress/10451.001.0001openalex-snapshot
Photo Forensics

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

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Watch Those Words: Video Falsification Detection Using Word-Conditioned Facial Motion
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