Moustapha Cissé

According to our database1, Moustapha Cissé authored at least 25 papers between 2010 and 2018.

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Bibliography

2018
Turning Your Weakness Into a Strength: Watermarking Deep Neural Networks by Backdooring.
CoRR, 2018

Fooling End-to-end Speaker Verification by Adversarial Examples.
CoRR, 2018

Turning Your Weakness Into a Strength: Watermarking Deep Neural Networks by Backdooring.
Proceedings of the 27th USENIX Security Symposium, 2018

Kronecker Recurrent Units.
Proceedings of the 35th International Conference on Machine Learning, 2018

Fooling End-To-End Speaker Verification With Adversarial Examples.
Proceedings of the 2018 IEEE International Conference on Acoustics, 2018

ConvNets and ImageNet Beyond Accuracy: Understanding Mistakes and Uncovering Biases.
Proceedings of the Computer Vision - ECCV 2018, 2018

2017
ConvNets and ImageNet Beyond Accuracy: Explanations, Bias Detection, Adversarial Examples and Model Criticism.
CoRR, 2017

Unbounded cache model for online language modeling with open vocabulary.
CoRR, 2017

Countering Adversarial Images using Input Transformations.
CoRR, 2017

mixup: Beyond Empirical Risk Minimization.
CoRR, 2017

Kronecker Recurrent Units.
CoRR, 2017

Parseval Networks: Improving Robustness to Adversarial Examples.
CoRR, 2017

Houdini: Fooling Deep Structured Prediction Models.
CoRR, 2017

Unbounded cache model for online language modeling with open vocabulary.
Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

Houdini: Fooling Deep Structured Visual and Speech Recognition Models with Adversarial Examples.
Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

Efficient softmax approximation for GPUs.
Proceedings of the 34th International Conference on Machine Learning, 2017

Parseval Networks: Improving Robustness to Adversarial Examples.
Proceedings of the 34th International Conference on Machine Learning, 2017

2016
Large margin classification with indefinite similarities.
Machine Learning, 2016

Efficient softmax approximation for GPUs.
CoRR, 2016

Is Attribute-Based Zero-Shot Learning an Ill-Posed Strategy?
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2016

ADIOS: Architectures Deep In Output Space.
Proceedings of the 33nd International Conference on Machine Learning, 2016

2013
Robust Bloom Filters for Large MultiLabel Classification Tasks.
Proceedings of the Advances in Neural Information Processing Systems 26: 27th Annual Conference on Neural Information Processing Systems 2013. Proceedings of a meeting held December 5-8, 2013

2012
Learning Compact Class Codes for Fast Inference in Large Multi Class Classification.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2012

2011
Deep Learners Benefit More from Out-of-Distribution Examples.
Proceedings of the Fourteenth International Conference on Artificial Intelligence and Statistics, 2011

2010
Deep Self-Taught Learning for Handwritten Character Recognition
CoRR, 2010


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