Adversarial Threats to DeepFake Detection: A Practical Perspective

19 November 2020

Paarth Neekhara

Brian Dolhansky

Joanna Bitton

Cristian Canton Ferrer

AAML

ArXiv PDF HTML

Papers citing "Adversarial Threats to DeepFake Detection: A Practical Perspective"

35 / 35 papers shown

Title
Passive Deepfake Detection Across Multi-modalities: A Comprehensive Survey Hong-Hanh Nguyen-Le Van-Tuan Tran Dinh-Thuc Nguyen Nhien-An Le-Khac AAML 152 2 0 26 Nov 2024
Vulnerabilities in AI-generated Image Detection: The Challenge of Adversarial Attacks Yunfeng Diao Na Zhai Changtao Miao Xun Yang Meng Wang Xun Yang Meng Wang AAML 111 1 0 30 Jul 2024
The DeepFake Detection Challenge (DFDC) Dataset Brian Dolhansky Joanna Bitton Ben Pflaum Jikuo Lu Russ Howes Menglin Wang Cristian Canton Ferrer PICV 37 247 0 12 Jun 2020
Evading Deepfake-Image Detectors with White- and Black-Box Attacks Nicholas Carlini Hany Farid AAML 53 149 0 01 Apr 2020
Adversarial Perturbations Fool Deepfake Detectors Apurva Gandhi Shomik Jain AAML 46 106 0 24 Mar 2020
Adversarial Deepfakes: Evaluating Vulnerability of Deepfake Detectors to Adversarial Examples Shehzeen Samarah Hussain Paarth Neekhara Malhar Jere F. Koushanfar Julian McAuley AAML 50 152 0 09 Feb 2020
Media Forensics and DeepFakes: an overview L. Verdoliva 91 548 0 18 Jan 2020
The Deepfake Detection Challenge (DFDC) Preview Dataset Brian Dolhansky Russ Howes Ben Pflaum Nicole Baram Cristian Canton Ferrer 59 498 0 19 Oct 2019
FSGAN: Subject Agnostic Face Swapping and Reenactment Y. Nirkin Y. Keller Tal Hassner CVBM PICV 145 575 0 16 Aug 2019
Improving Black-box Adversarial Attacks with a Transfer-based Prior Shuyu Cheng Yinpeng Dong Tianyu Pang Hang Su Jun Zhu AAML 78 274 0 17 Jun 2019
EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks Mingxing Tan Quoc V. Le 3DV MedIm 139 18,115 0 28 May 2019
Few-Shot Adversarial Learning of Realistic Neural Talking Head Models Egor Zakharov Aliaksandra Shysheya Egor Burkov Victor Lempitsky 3DH 147 629 0 20 May 2019
Universal Adversarial Perturbations for Speech Recognition Systems Paarth Neekhara Shehzeen Samarah Hussain Prakhar Pandey Shlomo Dubnov Julian McAuley F. Koushanfar AAML 61 117 0 09 May 2019
Curls & Whey: Boosting Black-Box Adversarial Attacks Yucheng Shi Siyu Wang Yahong Han AAML 97 117 0 02 Apr 2019
FaceForensics++: Learning to Detect Manipulated Facial Images Andreas Rossler D. Cozzolino L. Verdoliva Christian Riess Justus Thies Matthias Nießner CVBM 111 2,076 0 25 Jan 2019
A Style-Based Generator Architecture for Generative Adversarial Networks Tero Karras S. Laine Timo Aila 572 10,555 0 12 Dec 2018
Exposing DeepFake Videos By Detecting Face Warping Artifacts Yuezun Li Siwei Lyu AAML CVBM 62 911 0 01 Nov 2018
DSFD: Dual Shot Face Detector Jian Li Yabiao Wang Changan Wang Ying Tai J. Qian Jian Yang Chengjie Wang Jilin Li Feiyue Huang CVBM 75 413 0 24 Oct 2018
MesoNet: a Compact Facial Video Forgery Detection Network Darius Afchar Vincent Nozick Junichi Yamagishi Isao Echizen CVBM PICV 80 1,248 0 04 Sep 2018
Ask, Acquire, and Attack: Data-free UAP Generation using Class Impressions Konda Reddy Mopuri P. Uppala R. Venkatesh Babu AAML 65 85 0 03 Aug 2018
Physical Adversarial Examples for Object Detectors Kevin Eykholt Ivan Evtimov Earlence Fernandes Yue Liu Amir Rahmati Florian Tramèr Atul Prakash Tadayoshi Kohno D. Song AAML 92 469 0 20 Jul 2018
Fast Feature Fool: A data independent approach to universal adversarial perturbations Konda Reddy Mopuri Utsav Garg R. Venkatesh Babu AAML 86 206 0 18 Jul 2017
Delving into Transferable Adversarial Examples and Black-box Attacks Yanpei Liu Xinyun Chen Chang-rui Liu D. Song AAML 140 1,737 0 08 Nov 2016
Universal adversarial perturbations Seyed-Mohsen Moosavi-Dezfooli Alhussein Fawzi Omar Fawzi P. Frossard AAML 136 2,528 0 26 Oct 2016
Xception: Deep Learning with Depthwise Separable Convolutions François Chollet MDE BDL PINN 1.4K 14,559 0 07 Oct 2016
Towards Evaluating the Robustness of Neural Networks Nicholas Carlini D. Wagner OOD AAML 261 8,552 0 16 Aug 2016
Adversarial examples in the physical world Alexey Kurakin Ian Goodfellow Samy Bengio SILM AAML 540 5,897 0 08 Jul 2016
Transferability in Machine Learning: from Phenomena to Black-Box Attacks using Adversarial Samples Nicolas Papernot Patrick McDaniel Ian Goodfellow SILM AAML 112 1,740 0 24 May 2016
Joint Face Detection and Alignment using Multi-task Cascaded Convolutional Networks Kaipeng Zhang Zhanpeng Zhang Zhifeng Li Yu Qiao CVBM 173 4,962 0 11 Apr 2016
Practical Black-Box Attacks against Machine Learning Nicolas Papernot Patrick McDaniel Ian Goodfellow S. Jha Z. Berkay Celik A. Swami MLAU AAML 75 3,677 0 08 Feb 2016
The Limitations of Deep Learning in Adversarial Settings Nicolas Papernot Patrick McDaniel S. Jha Matt Fredrikson Z. Berkay Celik A. Swami AAML 105 3,960 0 24 Nov 2015
Distillation as a Defense to Adversarial Perturbations against Deep Neural Networks Nicolas Papernot Patrick McDaniel Xi Wu S. Jha A. Swami AAML 92 3,072 0 14 Nov 2015
Striving for Simplicity: The All Convolutional Net Jost Tobias Springenberg Alexey Dosovitskiy Thomas Brox Martin Riedmiller FAtt 248 4,667 0 21 Dec 2014
Explaining and Harnessing Adversarial Examples Ian Goodfellow Jonathon Shlens Christian Szegedy AAML GAN 277 19,049 0 20 Dec 2014
Intriguing properties of neural networks Christian Szegedy Wojciech Zaremba Ilya Sutskever Joan Bruna D. Erhan Ian Goodfellow Rob Fergus AAML 270 14,918 1 21 Dec 2013