Online passive-aggressive algorithms. K Crammer, O Dekel, J Keshet, S Shalev-Shwartz, Y Singer, MK Warmuth Journal of Machine Learning Research 7 (3), 2006 | 2586 | 2006 |
Turning your weakness into a strength: Watermarking deep neural networks by backdooring Y Adi, C Baum, M Cisse, B Pinkas, J Keshet 27th USENIX security symposium (USENIX Security 18), 1615-1631, 2018 | 736 | 2018 |
Houdini: Fooling deep structured visual and speech recognition models with adversarial examples MM Cisse, Y Adi, N Neverova, J Keshet Advances in neural information processing systems 30, 2017 | 502* | 2017 |
Large margin hierarchical classification O Dekel, J Keshet, Y Singer Proceedings of the twenty-first international conference on Machine learning, 27, 2004 | 327 | 2004 |
Fooling end-to-end speaker verification with adversarial examples F Kreuk, Y Adi, M Cisse, J Keshet 2018 IEEE international conference on acoustics, speech and signal …, 2018 | 231 | 2018 |
Support vector machines with a reject option Y Grandvalet, A Rakotomamonjy, J Keshet, S Canu Advances in neural information processing systems 21, 2008 | 228 | 2008 |
Kernel design using boosting K Crammer, J Keshet, Y Singer Advances in neural information processing systems 15, 2002 | 184 | 2002 |
Direct loss minimization for structured prediction T Hazan, J Keshet, D McAllester Advances in neural information processing systems 23, 2010 | 176 | 2010 |
Adversarial examples on discrete sequences for beating whole-binary malware detection F Kreuk, A Barak, S Aviv-Reuven, M Baruch, B Pinkas, J Keshet arXiv preprint arXiv:1802.04528, 490-510, 2018 | 168* | 2018 |
Discriminative keyword spotting J Keshet, D Grangier, S Bengio Speech Communication 51 (4), 317-329, 2009 | 167 | 2009 |
The projectron: a bounded kernel-based perceptron F Orabona, J Keshet, B Caputo Proceedings of the 25th international conference on Machine learning, 720-727, 2008 | 147 | 2008 |
Bounded Kernel-Based Online Learning. F Orabona, J Keshet, B Caputo Journal of Machine Learning Research 10 (11), 2009 | 125 | 2009 |
Automatic speech and speaker recognition J Keshet, S Bengio Large Margin and Kernel Methods, John Willy and Sons,, 2009 | 122 | 2009 |
Out-of-distribution detection using multiple semantic label representations G Shalev, Y Adi, J Keshet Advances in Neural Information Processing Systems 31 (NeurIPS 2018), 2018 | 100 | 2018 |
Robust discriminative keyword spotting for emotionally colored spontaneous speech using bidirectional LSTM networks M Wollmer, F Eyben, J Keshet, A Graves, B Schuller, G Rigoll 2009 IEEE International Conference on Acoustics, Speech and Signal …, 2009 | 97 | 2009 |
Self-supervised contrastive learning for unsupervised phoneme segmentation F Kreuk, J Keshet, Y Adi The 21th Annual Conference of the International Speech Communication …, 2020 | 86 | 2020 |
Minimal Modifications of Deep Neural Networks using Verification. B Goldberger, G Katz, Y Adi, J Keshet 23rd Int. Conf. on Logic for Programming, Artificial Intelligence and …, 2020 | 79 | 2020 |
Explicit approximations of the Gaussian kernel A Cotter, J Keshet, N Srebro arXiv preprint arXiv:1109.4603, 2011 | 76 | 2011 |
An online algorithm for hierarchical phoneme classification O Dekel, J Keshet, Y Singer International workshop on machine learning for multimodal interaction, 146-158, 2004 | 76 | 2004 |
Generalization bounds and consistency for latent structural probit and ramp loss J Keshet, D McAllester Advances in Neural Information Processing Systems 24, 2011 | 72 | 2011 |