Towards Global Neural Network Abstractions with Locally-Exact
Reconstruction

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Towards Global Neural Network Abstractions with Locally-Exact Reconstruction

21 October 2022

Lucas C. Cordeiro

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Papers citing "Towards Global Neural Network Abstractions with Locally-Exact Reconstruction"

19 / 19 papers shown

Title
The Second International Verification of Neural Networks Competition (VNN-COMP 2021): Summary and Results Stanley Bak Changliu Liu Taylor T. Johnson NAI 91 112 0 31 Aug 2021
On the Effect of Pruning on Adversarial Robustness Artur Jordão Hélio Pedrini AAML 81 23 0 10 Aug 2021
MLPerf Tiny Benchmark Colby R. Banbury Vijay Janapa Reddi P. Torelli J. Holleman Nat Jeffries ... Videet Parekh Honson Tran Nhan Tran Niu Wenxu Xu Xuesong VLM 99 190 0 14 Jun 2021
Privacy-Preserving Machine Learning with Fully Homomorphic Encryption for Deep Neural Network Joon-Woo Lee Hyungchul Kang Yongwoo Lee W. Choi Jieun Eom ... Eunsang Lee Junghyun Lee Donghoon Yoo Young-Sik Kim Jong-Seon No 80 251 0 14 Jun 2021
PRIMA: General and Precise Neural Network Certification via Scalable Convex Hull Approximations Mark Niklas Muller Gleb Makarchuk Gagandeep Singh Markus Püschel Martin Vechev 65 92 0 05 Mar 2021
Pruning and Quantization for Deep Neural Network Acceleration: A Survey Tailin Liang C. Glossner Lei Wang Shaobo Shi Xiaotong Zhang MQ 208 700 0 24 Jan 2021
An Abstraction-Based Framework for Neural Network Verification Y. Elboher Justin Emile Gottschlich Guy Katz 104 127 0 31 Oct 2019
ReachNN: Reachability Analysis of Neural-Network Controlled Systems Chao Huang Jiameng Fan Wenchao Li Xin Chen Qi Zhu 58 79 0 25 Jun 2019
Equivalent and Approximate Transformations of Deep Neural Networks Abhinav Kumar Thiago Serra Srikumar Ramalingam 64 21 0 27 May 2019
Defensive Quantization: When Efficiency Meets Robustness Ji Lin Chuang Gan Song Han MQ 77 203 0 17 Apr 2019
Algorithms for Verifying Deep Neural Networks Changliu Liu Tomer Arnon Christopher Lazarus Christopher A. Strong Clark W. Barrett Mykel J. Kochenderfer AAML 96 400 0 15 Mar 2019
A Convex Relaxation Barrier to Tight Robustness Verification of Neural Networks Hadi Salman Greg Yang Huan Zhang Cho-Jui Hsieh Pengchuan Zhang AAML 114 271 0 23 Feb 2019
ResNet with one-neuron hidden layers is a Universal Approximator Hongzhou Lin Stefanie Jegelka 105 229 0 28 Jun 2018
Mad Max: Affine Spline Insights into Deep Learning Randall Balestriero Richard Baraniuk AI4CE 61 78 0 17 May 2018
Towards Fast Computation of Certified Robustness for ReLU Networks Tsui-Wei Weng Huan Zhang Hongge Chen Zhao Song Cho-Jui Hsieh Duane S. Boning Inderjit S. Dhillon Luca Daniel AAML 108 695 0 25 Apr 2018
Stochastic Activation Pruning for Robust Adversarial Defense Guneet Singh Dhillon Kamyar Azizzadenesheli Zachary Chase Lipton Jeremy Bernstein Jean Kossaifi Aran Khanna Anima Anandkumar AAML 81 547 0 05 Mar 2018
Reluplex: An Efficient SMT Solver for Verifying Deep Neural Networks Guy Katz Clark W. Barrett D. Dill Kyle D. Julian Mykel Kochenderfer AAML 318 1,874 0 03 Feb 2017
Deep Compression: Compressing Deep Neural Networks with Pruning, Trained Quantization and Huffman Coding Song Han Huizi Mao W. Dally 3DGS 263 8,859 0 01 Oct 2015
Neural Network with Unbounded Activation Functions is Universal Approximator Sho Sonoda Noboru Murata 70 336 0 14 May 2015

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