Undistillable: Making A Nasty Teacher That CANNOT teach students

16 May 2021

Papers citing "Undistillable: Making A Nasty Teacher That CANNOT teach students"

36 / 36 papers shown

Title
The Effect of Optimal Self-Distillation in Noisy Gaussian Mixture Model Kaito Takanami Takashi Takahashi Ayaka Sakata 92 1 0 27 Jan 2025
Passport-aware Normalization for Deep Model Protection Jie Zhang Dongdong Chen Jing Liao Weiming Zhang G. Hua Nenghai Yu AAML 55 71 0 29 Oct 2020
Optical Flow Distillation: Towards Efficient and Stable Video Style Transfer Xinghao Chen Yiman Zhang Yunhe Wang Han Shu Chunjing Xu Chang Xu VGen 62 54 0 10 Jul 2020
Weight Poisoning Attacks on Pre-trained Models Keita Kurita Paul Michel Graham Neubig AAML SILM 134 451 0 14 Apr 2020
Regularizing Class-wise Predictions via Self-knowledge Distillation Sukmin Yun Jongjin Park Kimin Lee Jinwoo Shin 65 279 0 31 Mar 2020
Distilling portable Generative Adversarial Networks for Image Translation Hanting Chen Yunhe Wang Han Shu Changyuan Wen Chunjing Xu Boxin Shi Chao Xu Chang Xu 146 83 0 07 Mar 2020
Model Watermarking for Image Processing Networks Jie Zhang Dongdong Chen Jing Liao Han Fang Weiming Zhang Wenbo Zhou Hao Cui Nenghai Yu WIGM AAML 78 132 0 25 Feb 2020
Dreaming to Distill: Data-free Knowledge Transfer via DeepInversion Hongxu Yin Pavlo Molchanov Zhizhong Li J. Álvarez Arun Mallya Derek Hoiem N. Jha Jan Kautz 69 565 0 18 Dec 2019
Defending Against Model Stealing Attacks with Adaptive Misinformation Sanjay Kariyappa Moinuddin K. Qureshi MLAU AAML 49 108 0 16 Nov 2019
[Extended version] Rethinking Deep Neural Network Ownership Verification: Embedding Passports to Defeat Ambiguity Attacks Lixin Fan Kam Woh Ng Chee Seng Chan AAML 50 192 0 16 Sep 2019
Prediction Poisoning: Towards Defenses Against DNN Model Stealing Attacks Tribhuvanesh Orekondy Bernt Schiele Mario Fritz AAML 52 166 0 26 Jun 2019
Distilling Object Detectors with Fine-grained Feature Imitation Tao Wang Li-xin Yuan Xiaopeng Zhang Jiashi Feng ObjD 60 382 0 09 Jun 2019
Be Your Own Teacher: Improve the Performance of Convolutional Neural Networks via Self Distillation Linfeng Zhang Jiebo Song Anni Gao Jingwei Chen Chenglong Bao Kaisheng Ma FedML 76 861 0 17 May 2019
Variational Information Distillation for Knowledge Transfer SungSoo Ahn S. Hu Andreas C. Damianou Neil D. Lawrence Zhenwen Dai 89 620 0 11 Apr 2019
Relational Knowledge Distillation Wonpyo Park Dongju Kim Yan Lu Minsu Cho 68 1,414 0 10 Apr 2019
Data-Free Learning of Student Networks Hanting Chen Yunhe Wang Chang Xu Zhaohui Yang Chuanjian Liu Boxin Shi Chunjing Xu Chao Xu Qi Tian FedML 53 371 0 02 Apr 2019
Structured Knowledge Distillation for Dense Prediction Yifan Liu Chris Liu Jingdong Wang Zhenbo Luo 75 583 0 11 Mar 2019
Improved Knowledge Distillation via Teacher Assistant Seyed Iman Mirzadeh Mehrdad Farajtabar Ang Li Nir Levine Akihiro Matsukawa H. Ghasemzadeh 100 1,075 0 09 Feb 2019
ShuffleNet V2: Practical Guidelines for Efficient CNN Architecture Design Ningning Ma Xiangyu Zhang Haitao Zheng Jian Sun 179 4,990 0 30 Jul 2018
Towards Privacy-Preserving Visual Recognition via Adversarial Training: A Pilot Study Zhenyu Wu Zhangyang Wang Zhaowen Wang Hailin Jin AAML PICV 55 153 0 22 Jul 2018
Born Again Neural Networks Tommaso Furlanello Zachary Chase Lipton Michael Tschannen Laurent Itti Anima Anandkumar 68 1,031 0 12 May 2018
PRADA: Protecting against DNN Model Stealing Attacks Mika Juuti S. Szyller Samuel Marchal Nadarajah Asokan SILM AAML 68 442 0 07 May 2018
Is feature selection secure against training data poisoning? Huang Xiao Battista Biggio Gavin Brown Giorgio Fumera Claudia Eckert Fabio Roli AAML SILM 64 423 0 21 Apr 2018
Learning Deep Representations with Probabilistic Knowledge Transfer Nikolaos Passalis Anastasios Tefas 61 412 0 28 Mar 2018
MobileNetV2: Inverted Residuals and Linear Bottlenecks Mark Sandler Andrew G. Howard Menglong Zhu A. Zhmoginov Liang-Chieh Chen 184 19,284 0 13 Jan 2018
Targeted Backdoor Attacks on Deep Learning Systems Using Data Poisoning Xinyun Chen Chang-rui Liu Yue Liu Kimberly Lu Basel Alomair AAML SILM 143 1,840 0 15 Dec 2017
Data-Free Knowledge Distillation for Deep Neural Networks Raphael Gontijo-Lopes Stefano Fenu Thad Starner 55 272 0 19 Oct 2017
BadNets: Identifying Vulnerabilities in the Machine Learning Model Supply Chain Tianyu Gu Brendan Dolan-Gavitt S. Garg SILM 127 1,772 0 22 Aug 2017
Privacy-Preserving Visual Learning Using Doubly Permuted Homomorphic Encryption Ryo Yonetani Vishnu Boddeti Kris Kitani Yoichi Sato PICV FedML 70 67 0 07 Apr 2017
Embedding Watermarks into Deep Neural Networks Yusuke Uchida Yuki Nagai S. Sakazawa Shiníchi Satoh 122 609 0 15 Jan 2017
Paying More Attention to Attention: Improving the Performance of Convolutional Neural Networks via Attention Transfer Sergey Zagoruyko N. Komodakis 125 2,581 0 12 Dec 2016
Deep Residual Learning for Image Recognition Kaiming He Xinming Zhang Shaoqing Ren Jian Sun MedIm 2.2K 194,020 0 10 Dec 2015
DeepFool: a simple and accurate method to fool deep neural networks Seyed-Mohsen Moosavi-Dezfooli Alhussein Fawzi P. Frossard AAML 151 4,897 0 14 Nov 2015
Distilling the Knowledge in a Neural Network Geoffrey E. Hinton Oriol Vinyals J. Dean FedML 362 19,660 0 09 Mar 2015
Adam: A Method for Stochastic Optimization Diederik P. Kingma Jimmy Ba ODL 1.9K 150,115 0 22 Dec 2014
FitNets: Hints for Thin Deep Nets Adriana Romero Nicolas Ballas Samira Ebrahimi Kahou Antoine Chassang C. Gatta Yoshua Bengio FedML 308 3,887 0 19 Dec 2014