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Engineering dependable and secure machine learning systems : third international workshop, EDSMLS 2020, New York City, NY, USA, February 7, 2020, revised selected papers / / Onn Shehory, Eitan Farchi, Guy Barash, (editors)
| Engineering dependable and secure machine learning systems : third international workshop, EDSMLS 2020, New York City, NY, USA, February 7, 2020, revised selected papers / / Onn Shehory, Eitan Farchi, Guy Barash, (editors) |
| Edizione | [1st ed. 2020.] |
| Pubbl/distr/stampa | Cham, Switzerland : , : Springer, , [2020] |
| Descrizione fisica | 1 online resource (IX, 141 p. 44 illus., 34 illus. in color.) |
| Disciplina | 006.31 |
| Collana | Communications in computer and information science |
| Soggetto topico |
Machine learning
Artificial intelligence Computer security |
| ISBN | 3-030-62144-8 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Quality Management of Deep Learning Systems -- Can Attention Masks Improve Adversarial Robustness? -- Learner-Independent Data Omission Attacks -- Extraction of Complex DNN Models: Real Threat or Boogeyman? -- Principal Component Properties of Adversarial Samples -- FreaAI: Automated extraction of data slices to test machine learning models -- Density estimation in representation space to predict model uncertainty -- Automated detection of drift in deep learning based classifiers using network embedding -- Quality of syntactic implication of RL-based sentence summarization -- Dependable Neural Networks for Safety Critical Tasks. |
| Record Nr. | UNINA-9910427698103321 |
| Cham, Switzerland : , : Springer, , [2020] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Engineering dependable and secure machine learning systems : third international workshop, EDSMLS 2020, New York City, NY, USA, February 7, 2020, revised selected papers / / Onn Shehory, Eitan Farchi, Guy Barash, (editors)
| Engineering dependable and secure machine learning systems : third international workshop, EDSMLS 2020, New York City, NY, USA, February 7, 2020, revised selected papers / / Onn Shehory, Eitan Farchi, Guy Barash, (editors) |
| Edizione | [1st ed. 2020.] |
| Pubbl/distr/stampa | Cham, Switzerland : , : Springer, , [2020] |
| Descrizione fisica | 1 online resource (IX, 141 p. 44 illus., 34 illus. in color.) |
| Disciplina | 006.31 |
| Collana | Communications in computer and information science |
| Soggetto topico |
Machine learning
Artificial intelligence Computer security |
| ISBN | 3-030-62144-8 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Quality Management of Deep Learning Systems -- Can Attention Masks Improve Adversarial Robustness? -- Learner-Independent Data Omission Attacks -- Extraction of Complex DNN Models: Real Threat or Boogeyman? -- Principal Component Properties of Adversarial Samples -- FreaAI: Automated extraction of data slices to test machine learning models -- Density estimation in representation space to predict model uncertainty -- Automated detection of drift in deep learning based classifiers using network embedding -- Quality of syntactic implication of RL-based sentence summarization -- Dependable Neural Networks for Safety Critical Tasks. |
| Record Nr. | UNISA-996465463303316 |
| Cham, Switzerland : , : Springer, , [2020] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
Theory and Practice of Quality Assurance for Machine Learning Systems : An Experiment-Driven Approach / / by Samuel Ackerman, Guy Barash, Eitan Farchi, Orna Raz, Onn Shehory
| Theory and Practice of Quality Assurance for Machine Learning Systems : An Experiment-Driven Approach / / by Samuel Ackerman, Guy Barash, Eitan Farchi, Orna Raz, Onn Shehory |
| Autore | Ackerman Samuel |
| Edizione | [1st ed. 2024.] |
| Pubbl/distr/stampa | Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2024 |
| Descrizione fisica | 1 online resource (187 pages) |
| Disciplina | 005.1 |
| Altri autori (Persone) |
BarashGuy
FarchiEitan RazOrna ShehoryOnn |
| Soggetto topico |
Software engineering
Artificial intelligence Software Engineering Artificial Intelligence |
| ISBN | 3-031-70008-2 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | 1. Introduction -- 2. Scientific Analysis of ML Systems -- 3. Motivation and Best Practices for Machine Learning Designers and Testers -- 4. Unit Test vs. System Test of ML Based Systems -- 5. ML Testing -- 6. Principles of Drift Detection and ML Solution Retraining -- 7. Drift Detection by Measuring Distribution Differences -- 8. Sequential Drift Detection -- 9. Drift in Characterizations of Data -- 10. A Framework Analysis for Alternating Components and Drift -- 11. Optimal Integration of the ML Solution in the Business Decision Process -- 12. Testing Solutions Based on Large Language Models -- 13. A Detailed Chatbot Example. |
| Record Nr. | UNINA-9910900179903321 |
Ackerman Samuel
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| Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2024 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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