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Symbolic analysis of security exploits in smart contracts has demonstrated to be valuable for analyzing predefined vulnerability properties.
Finding structure in time
Jeffrey L. Elman. 1990 · 1990
Earlier work this paper cites.
Improving the learning speed of 2-layer neural networks by choosing initial values of the adaptive weights.. In IJCNN . IEEE, Piscataway, New Jersey, United States, 21–26
Derrick Nguyen and Bernard Widrow. 1990 · 1990
Earlier work this paper cites.
Class-based N-gram Models of Natural Language
Peter F. Brown, Peter V. deSouza, Robert L. Mercer, Vincent J. Della Pietra, and Jenifer C. Lai. 1992 · 1992
Earlier work this paper cites.
Learning long-term dependencies with gradient descent is difficult
Y. Bengio, P. Simard, and P. Frasconi. 1994 · 1994
Earlier work this paper cites.
Neural networks for pattern recognition
C.M. Bishop. 1995 · 1995
Earlier work this paper cites.
Long Short-Term Memory
Sepp Hochreiter and Jürgen Schmidhuber. 1997 · 1997
Earlier work this paper cites.
Markov chains
J. R. Norris. 1998 · 1998
Earlier work this paper cites.
Learning to Forget: Continual Prediction with LSTM. In Proc. ICANN’99, Int. Conf. on Artificial Neural Networks . IEEE, London, Edinburgh, Scotland, 850–855
F. A. Gers, J. Schmidhuber, and F. Cummins. 1999 · 1999
Earlier work this paper cites.
SMOTE: Synthetic Minority Over-sampling Technique
Nitesh V. Chawla, Kevin W. Bowyer, Lawrence O. Hall, and W. Philip Kegelmeyer. 2002 · 2002
Earlier work this paper cites.
Investigating Loss Functions and Optimization Methods for Discriminative Learning of Label Sequences. In Proceedings of the 2003 Conference on Empirical Methods in Natural Language Processing (EMNLP ’03) . Association for Computational Linguistics, Stroudsburg, PA, USA, 145–152
Yasemin Altun, Mark Johnson, and Thomas Hofmann. 2003 · 2003
Earlier work this paper cites.
N-Gram-Based Detection of New Malicious Code. In Proceedings of the 28th Annual International Computer Software and Applications Conference - Workshops and Fast Abstracts - Volume 02 (COMPSAC ’04) . IEEE Computer Society, Washington, DC, USA, 41–42
Tony Abou-Assaleh, Nick Cercone, Vlado Keselj, and Ray Sweidan. 2004 · 2004
Earlier work this paper cites.
Bitcoin: A peer-to-peer electronic cash system
Satoshi Nakamoto. 2009 · 2009
Earlier work this paper cites.
Detection of Malicious Code by Applying Machine Learning Classifiers on Static Features: A State-of-the-art Survey
Asaf Shabtai, Robert Moskovitch, Yuval Elovici, and Chanan Glezer. 2009 · 2009
Earlier work this paper cites.
Context-Dependent Pre-Trained Deep Neural Networks for Large-Vocabulary Speech Recognition
G. E. Dahl, Dong Yu, Li Deng, and A. Acero. 2012 · 2011
Earlier work this paper cites.
Deep neural networks for acoustic modeling in speech recognition: The shared views of four research groups
Geoffrey Hinton, Li Deng, Dong Yu, George E Dahl, Abdel-rahman Mohamed, Navdeep Jaitly, Andrew Senior, Vincent Vanhoucke, Patrick Nguyen, Tara N Sainath, et al · 2012
Earlier work this paper cites.
Statistical language models based on neural networks
Tomáš Mikolov. 2012 · 2012
Earlier work this paper cites.
Generating Sequences With Recurrent Neural Networks
Alex Graves. 2013 · 2013
Earlier work this paper cites.
Efficient Estimation of Word Representations in Vector Space. In International Conference on Learning Representations (ICLR) 2013 . openreview.net, Online, 1–12
Tomas Mikolov, G.s Corrado, Kai Chen, and Jeffrey Dean. 2013 · 2013
Earlier work this paper cites.
On the difficulty of training recurrent neural networks. In International Conference on Machine Learning . JMLR.org, Online, 1310–1318
Razvan Pascanu, Tomas Mikolov, and Yoshua Bengio. 2013 · 2013
Cited alongside, same era.
Learning Phrase Representations using RNN Encoder–Decoder for Statistical Machine Translation. In Proceedings of the 2014 Conference on Empirical Methods in Natural Language Processing (EMNLP) . Association for Computational Linguistics, Doha, Qatar, 1724–1734
Kyunghyun Cho, Bart van Merriënboer, Çaglar Gülçehre, Dzmitry Bahdanau, Fethi Bougares, Holger Schwenk, and Yoshua Bengio. 2014 · 2014
Cited alongside, same era.
Ethereum: A secure decentralised generalised transaction ledger
Gavin Wood. 2014 · 2014
Cited alongside, same era.
The Unreasonable Effectiveness of Recurrent Neural Networks
Andrej Karpathy. 2015 · 2015
Cited alongside, same era.
How $ 800 \$800 k Evaporated from the PoWH Coin Ponzi Scheme Overnight
Eric Banisadr. 2018 · 2018
Closest in time.
SmartInspect: solidity smart contract inspector
Santiago Bragagnolo, Henrique Rocha, Marcus Denker, and Stephane Ducasse. 2018 · 2018
Closest in time.
https://coinmarketcap.com/currencies/ethereum/
Ethereum (ETH) Market Cap. 2016 · 2018
Closest in time.
Detecting Ponzi Schemes on Ethereum: Towards Healthier Blockchain Technology. In Proceedings of the 2018 World Wide Web Conference (WWW ’18) . International World Wide Web Conferences Steering Committee, Republic and Canton of Geneva, Switzerland, 1409–1418
Weili Chen, Zibin Zheng, Jiahui Cui, Edith Ngai, Peilin Zheng, and Yuren Zhou. 2018 · 2018
Closest in time.
https://etherscan.io/contractsVerified
Etherscan verified source codes. 2018 · 2018
Closest in time.
Google BigQuery - Ethereum
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Diederik P. Kingma and Jimmy Ba. 2015 · 2015
Cited alongside, same era.
Effective Approaches to Attention-based Neural Machine Translation. In Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing . Association for Computational Linguistics, Lisbon, Portugal, 1412–1421
Thang Luong, Hieu Pham, and Christopher D. Manning. 2015 · 2015
Cited alongside, same era.
Recognizing Functions in Binaries with Neural Networks. In 24th USENIX Security Symposium (USENIX Security 15) . USENIX Association, Washington, D.C., 611–626
Eui Chul Richard Shin, Dawn Song, and Reza Moazzezi. 2015 · 2015
Cited alongside, same era.
Hard Fork Completed
Vitalik Buterin. 2016 · 2016
Cited alongside, same era.
N-gram Opcode Analysis for Android Malware Detection
BooJoong Kang, Suleiman Yerima, Sakir Sezer, and Kieran Mclaughlin. 2016 · 2016
Cited alongside, same era.
Making Smart Contracts Smarter. In Proceedings of the 2016 ACM SIGSAC Conference on Computer and Communications Security (CCS ’16) . ACM, New York, NY, USA, 254–269
Loi Luu, Duc-Hiep Chu, Hrishi Olickel, Prateek Saxena, and Aquinas Hobor. 2016 · 2016
Cited alongside, same era.
Google’s Neural Machine Translation System: Bridging the Gap between Human and Machine Translation
Yonghui Wu, Mike Schuster, Zhifeng Chen, Quoc V. Le, Mohammad Norouzi, Wolfgang Macherey, Maxim Krikun, Yuan Cao, Qin Gao, Klaus Macherey, Jeff Klingner, Apurva Shah, Melvin Johnson, Xiaobing Liu, Lukasz Kaiser, Stephan Gouws, Yoshikiyo Kato, Taku Kudo, Hideto Kazawa, Keith Stevens, George Kurian, Nishant Patil, Wei Wang, Cliff Young, Jason Smith, Jason Riesa, Alex Rudnick, Oriol Vinyals, Greg Corrado, Macduff Hughes, and Jeffrey Dean. 2016 · 2016
Cited alongside, same era.
A Survey of Attacks on Ethereum Smart Contracts SoK. In Proceedings of the 6th International Conference on Principles of Security and Trust - Volume 10204 . Springer-Verlag New York, Inc., New York, NY, USA, 164–186
Nicola Atzei, Massimo Bartoletti, and Tiziana Cimoli. 2017 · 2017
Cited alongside, same era.
Google. 2018 · 2018
Closest in time.
Analysis of the DAO exploit
Hacking Distributed. 2016 · 2018
Closest in time.
ZEUS: Analyzing Safety of Smart Contracts. In 25th Annual Network and Distributed System Security Symposium, NDSS 2018, San Diego, California, USA, February 18-21, 2018 . The Internet Society, Reston, Virginia, United States, 1–15
Sukrit Kalra, Seep Goel, Mohan Dhawan, and Subodh Sharma. 2018 · 2018
Closest in time.
teEther: Gnawing at Ethereum to Automatically Exploit Smart Contracts. In 27th USENIX Security Symposium (USENIX Security 18) . USENIX Association, Baltimore, MD, 1317–1333
Johannes Krupp and Christian Rossow. 2018 · 2018
Closest in time.
ReGuard: Finding Reentrancy Bugs in Smart Contracts. In Proceedings of the 40th International Conference on Software Engineering: Companion Proceeedings (ICSE ’18) . ACM, New York, NY, USA, 65–68
Chao Liu, Han Liu, Zhao Cao, Zhong Chen, Bangdao Chen, and Bill Roscoe. 2018 · 2018
Closest in time.
Finding The Greedy, Prodigal, and Suicidal Contracts at Scale. In Proceedings of the 34th Annual Computer Security Applications Conference (ACSAC ’18) . ACM, New York, NY, USA, 653–663
Ivica Nikolić, Aashish Kolluri, Ilya Sergey, Prateek Saxena, and Aquinas Hobor. 2018 · 2018
Closest in time.
Security Alert
Parity Technologies. 2017 · 2018
Closest in time.
Tiresias: Predicting Security Events Through Deep Learning. In Proceedings of the 2018 ACM SIGSAC Conference on Computer and Communications Security (CCS ’18) . ACM, New York, NY, USA, 592–605
Yun Shen, Enrico Mariconti, Pierre Antoine Vervier, and Gianluca Stringhini. 2018 · 2018
Closest in time.
Securify: Practical Security Analysis of Smart Contracts. In Proceedings of the 2018 ACM SIGSAC Conference on Computer and Communications Security (CCS ’18) . ACM, New York, NY, USA, 67–82
Petar Tsankov, Andrei Dan, Dana Drachsler-Cohen, Arthur Gervais, Florian Bünzli, and Martin Vechev. 2018 · 2018
Closest in time.
Security Assurance for Smart Contract. In 2018 9th IFIP International Conference on New Technologies, Mobility and Security (NTMS) . IEEE, Paris, France, 1–5
E. Zhou, S. Hua, B. Pi, J. Sun, Y. Nomura, K. Yamashita, and H. Kurihara. 2018 · 2018
Closest in time.
Blockchain Use Cases and Their Feasibility
Kaspars Zīle and Renāte Strazdiņa. 2018 · 2018
Closest in time.
Analysis of Ethereum Smart Contracts and Opcodes. In Advanced Information Networking and Applications , Leonard Barolli, Makoto Takizawa, Fatos Xhafa, and Tomoya Enokido (Eds.). Springer International Publishing, Cham, 546–558
Stefano Bistarelli, Gianmarco Mazzante, Matteo Micheletti, Leonardo Mostarda, and Francesco Tiezzi. 2020 · 2020
Closest in time.