Dimitrios Pendarakis

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All published works

Action	Title	Year	Authors
+ PDF Chat	Reaching Data Confidentiality and Model Accountability on the CalTrain	2019	Zhongshu Gu Hani Jamjoom Dong Su Heqing Huang Jialong Zhang Tengfei Ma Dimitrios Pendarakis Ian Molloy
+	Securing Input Data of Deep Learning Inference Systems via Partitioned Enclave Execution.	2018	Zhongshu Gu Heqing Huang Jialong Zhang Dong Su Ankita Lamba Dimitrios Pendarakis Ian Molloy
+	YerbaBuena: Securing Deep Learning Inference Data via Enclave-based Ternary Model Partitioning	2018	Zhongshu Gu Heqing Huang Jialong Zhang Dong Su Hani Jamjoom Ankita Lamba Dimitrios Pendarakis Ian Molloy
+	Reaching Data Confidentiality and Model Accountability on the CalTrain	2018	Zhongshu Gu Hani Jamjoom Dong Su Heqing Huang Jialong Zhang Tengfei Ma Dimitrios Pendarakis Ian Molloy
+	Confidential Inference via Ternary Model Partitioning	2018	Zhongshu Gu Heqing Huang Jialong Zhang Dong Su Hani Jamjoom Ankita Lamba Dimitrios Pendarakis Ian Molloy
+	Virtual path bandwidth allocation in multiuser networks	1997	Aurel A. Lazar Ariel Orda Dimitrios Pendarakis

Common Coauthors

Coauthor	Papers Together
Jialong Zhang	5
Dong Su	5
Ian Molloy	5
Heqing Huang	5
Zhongshu Gu	5
Hani Jamjoom	4
Ankita Lamba	3
Tengfei Ma	2
Ariel Orda	1
Aurel A. Lazar	1

Commonly Cited References

Action	Title	Year	Authors	# of times referenced
+ PDF Chat	Inverting Visual Representations with Convolutional Networks	2016	Alexey Dosovitskiy Thomas Brox	5
+ PDF Chat	Understanding deep image representations by inverting them	2015	Aravindh Mahendran Andrea Vedaldi	5
+	Slalom: Fast, Verifiable and Private Execution of Neural Networks in Trusted Hardware	2018	Florian Tramèr Dan Boneh	4
+ PDF Chat	The Circle Game	2017	Sandeep Tamrakar Jian Liu Andrew Paverd Jan-Erik Ekberg Benny Pinkas N. Asokan	4
+	Efficient Deep Learning on Multi-Source Private Data	2018	Nick Hynes Raymond Cheng Dawn Song	4
+ PDF Chat	HardIDX: Practical and Secure Index with SGX	2017	Benny Fuhry Raad Bahmani Ferdinand Brasser Florian Hahn Florian Kerschbaum Ahmad‐Reza Sadeghi	4
+	Chiron: Privacy-preserving Machine Learning as a Service	2018	Tyler Hunt Congzheng Song Reza Shokri Vitaly Shmatikov Emmett Witchel	4
+	Opening the Black Box of Deep Neural Networks via Information	2017	Ravid Shwartz-Ziv Naftali Tishby	3
+ PDF Chat	Densely Connected Convolutional Networks	2017	Gao Huang Zhuang Liu Laurens van der Maaten Kilian Q. Weinberger	3
+	SqueezeNet: AlexNet-level accuracy with 50x fewer parameters and <0.5MB model size	2016	Forrest Iandola Song Han Matthew W. Moskewicz Khalid Ashraf William J. Dally Kurt Keutzer	3
+	Understanding Neural Networks Through Deep Visualization	2015	Jason Yosinski Jeff Clune Anh Mai Nguyen Thomas J. Fuchs Hod Lipson	3
+ PDF Chat	Membership Inference Attacks Against Machine Learning Models	2017	Reza Shokri Marco Stronati Congzheng Song Vitaly Shmatikov	2
+	BadNets: Identifying Vulnerabilities in the Machine Learning Model Supply Chain	2017	Tianyu Gu Brendan Dolan-Gavitt Siddharth Garg	2
+	Very Deep Convolutional Networks for Large-Scale Image Recognition	2014	Karen Simonyan Andrew Zisserman	2
+	Deep Speech: Scaling up end-to-end speech recognition	2014	Awni Hannun Carl Case Jared Casper Bryan Catanzaro Greg Diamos Erich Elsen Ryan Prenger Sanjeev Satheesh Shubho Sengupta Adam Coates	2
+ PDF Chat	Support vector machines under adversarial label contamination	2015	Xiao Huang Battista Biggio Blaine Nelson Han Xiao Claudia Eckert Fabio Roli	2
+	Striving for Simplicity: The All Convolutional Net	2014	Jost Tobias Springenberg Alexey Dosovitskiy Thomas Brox Martin Riedmiller	2
+ PDF Chat	Speech recognition with deep recurrent neural networks	2013	Alex Graves Abdelrahman Mohamed Geoffrey E. Hinton	2
+	Exploiting Linear Structure Within Convolutional Networks for Efficient Evaluation	2014	Emily Denton Wojciech Zaremba Joan Bruna Yann LeCun Rob Fergus	2
+ PDF Chat	Deep Residual Learning for Image Recognition	2016	Kaiming He Xiangyu Zhang Shaoqing Ren Jian Sun	2
+	Federated Learning of Deep Networks using Model Averaging	2016	H. Brendan McMahan Eider Moore Daniel Ramage Blaise Agüera y Arcas	2
+ PDF Chat	Learning Deep Features for Discriminative Localization	2016	Bolei Zhou Aditya Khosla Àgata Lapedriza Aude Oliva Antonio Torralba	2
+	A Powerful Generative Model Using Random Weights for the Deep Image Representation	2016	Kun He Yan Wang John E. Hopcroft	2
+ PDF Chat	Deep Learning with Differential Privacy	2016	Martı́n Abadi Andy Chu Ian Goodfellow H. Brendan McMahan Ilya Mironov Kunal Talwar Li Zhang	2
+	Targeted Backdoor Attacks on Deep Learning Systems Using Data Poisoning	2017	Xinyun Chen Chang Liu Bo Li Kimberly Lu Dawn Song	2
+	A Berkeley View of Systems Challenges for AI	2017	Ion Stoica Dawn Song Raluca Ada Popa David A. Patterson Michael W. Mahoney Randy H. Katz Anthony D. Joseph Michael I. Jordan Joseph M. Hellerstein Joseph E. Gonzalez	2
+	SgxPectre Attacks: Leaking Enclave Secrets via Speculative Execution.	2018	Guoxing Chen Sanchuan Chen Yuan Xiao Yinqian Zhang Zhiqiang Lin Ten‐Hwang Lai	2
+	Inference Attacks Against Collaborative Learning.	2018	Luca Melis Congzheng Song Emiliano De Cristofaro Vitaly Shmatikov	2
+	SgxPectre: Stealing Intel Secrets from SGX Enclaves Via Speculative Execution	2019	Guoxing Chen Sanchuan Chen Yuan Xiao Yinqian Zhang Zhiqiang Lin Ten H. Lai	2
+	How To Backdoor Federated Learning	2018	Eugene Bagdasaryan Andreas Veit Yiqing Hua Deborah Estrin Vitaly Shmatikov	2
+	Securing Input Data of Deep Learning Inference Systems via Partitioned Enclave Execution.	2018	Zhongshu Gu Heqing Huang Jialong Zhang Dong Su Ankita Lamba Dimitrios Pendarakis Ian Molloy	2
+	Mitigating Sybils in Federated Learning Poisoning	2018	Clement Fung Chris J. M. Yoon Ivan Beschastnikh	2
+	MLCapsule: Guarded Offline Deployment of Machine Learning as a Service	2018	Lucjan Hanzlik Yang Zhang Kathrin Grosse Ahmed Salem Max Augustin Michael Backes Mario Fritz	2
+	Contamination Attacks and Mitigation in Multi-Party Machine Learning	2018	Jamie Hayes Olga Ohrimenko	2
+	ZombieLoad: Cross-Privilege-Boundary Data Sampling	2019	Michael Schwarz Moritz Lipp Daniel Moghimi Jo Van Bulck Julian Stecklina Thomas Prescher Daniel Gruss	2
+	Exploiting Linear Structure Within Convolutional Networks for Efficient Evaluation	2014	Emily Denton Wojciech Zaremba Joan Bruna Yann LeCun Rob Fergus	2
+	Software Grand Exposure: SGX Cache Attacks Are Practical	2017	Ferdinand Brasser Urs Müller Alexandra Dmitrienko Kari Kostiainen Srđjan Čapkun Ahmad‐Reza Sadeghi	2
+	Deep Inside Convolutional Networks: Visualising Image Classification Models and Saliency Maps	2013	Karen Simonyan Andrea Vedaldi Andrew Zisserman	2
+ PDF Chat	Grad-CAM: Visual Explanations from Deep Networks via Gradient-Based Localization	2017	Ramprasaath R. Selvaraju Michael Cogswell Abhishek Das Ramakrishna Vedantam Devi Parikh Dhruv Batra	2
+ PDF Chat	A Hybrid Deep Learning Architecture for Privacy-Preserving Mobile Analytics	2020	Seyed Ali Osia Ali Shahin Shamsabadi Sina Sajadmanesh A. Karimi Taheri Kleomenis Katevas Hamid R. Rabiee Nicholas D. Lane Hamed Haddadi	2
+	Prochlo	2017	Andrea Bittau Úlfar Erlingsson Petros Maniatis Ilya Mironov Ananth Raghunathan David Lie Mitch Rudominer Ushasree Kode Julien Tinnes Bernhard Seefeld	2
+	YerbaBuena: Securing Deep Learning Inference Data via Enclave-based Ternary Model Partitioning	2018	Zhongshu Gu Heqing Huang Jialong Zhang Dong Su Hani Jamjoom Ankita Lamba Dimitrios Pendarakis Ian Molloy	1
+	Machine Learning Models that Remember Too Much	2017	Congzheng Song Thomas Ristenpart Vitaly Shmatikov	1
+	Poisoning Attacks against Support Vector Machines	2012	Battista Biggio Blaine Nelson Pavel Laskov	1
+	PrivyNet: A Flexible Framework for Privacy-Preserving Deep Neural Network Training with A Fine-Grained Privacy Control.	2017	Meng Li Liangzhen Lai Naveen Suda Vikas Chandra David Z. Pan	1
+ PDF Chat	Machine Learning Models that Remember Too Much	2017	Congzheng Song Thomas Ristenpart Vitaly Shmatikov	1
+	PrivyNet: A Flexible Framework for Privacy-Preserving Deep Neural Network Training	2017	Meng Li Liangzhen Lai Naveen Suda Vikas Chandra David Z. Pan	1
+	Contamination Attacks and Mitigation in Multi-Party Machine Learning	2019	Jamie Hayes Olga Ohrimenko	1
+	Sequence to Sequence Learning with Neural Networks	2014	Ilya Sutskever Oriol Vinyals Quoc V. Le	1
+	Communication-Efficient Learning of Deep Networks from Decentralized Data	2016	H. Brendan McMahan Eider Moore Daniel Ramage Seth Hampson Blaise Agüera y Arcas	1