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Deep Motif Dashboard: Visualizing and Understanding Genomic Sequences Using Deep Neural Networks.

, , , and . PSB, page 254-265. (2017)

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Differential Network Learning Beyond Data Samples., , , and . CoRR, (2020)Expanding Scope: Adapting English Adversarial Attacks to Chinese., , and . CoRR, (2023)TextAttack: Lessons learned in designing Python frameworks for NLP., , and . CoRR, (2020)Supervised semantic indexing., , , , , , , and . CIKM, page 187-196. ACM, (2009)Adversarial-Playground: A visualization suite showing how adversarial examples fool deep learning., and . VizSEC, page 1-4. IEEE Computer Society, (2017)ST-MAML : A stochastic-task based method for task-heterogeneous meta-learning., , , and . UAI, volume 180 of Proceedings of Machine Learning Research, page 2066-2074. PMLR, (2022)Retrieving Medical Records with "sennamed": NEC Labs America at TREC 2012 Medical Record Track., and . TREC, volume 500-298 of NIST Special Publication, National Institute of Standards and Technology (NIST), (2012)Feature Squeezing Mitigates and Detects Carlini/Wagner Adversarial Examples., , and . CoRR, (2017)Feature Squeezing: Detecting Adversarial Examples in Deep Neural Networks., , and . CoRR, (2017)Black-Box Generation of Adversarial Text Sequences to Evade Deep Learning Classifiers., , , and . IEEE Symposium on Security and Privacy Workshops, page 50-56. IEEE Computer Society, (2018)