03369nam 2200529 450 99654796370331620230614053059.09789811968143(electronic bk.)978981196813610.1007/978-981-19-6814-3(MiAaPQ)EBC7242968(Au-PeEL)EBL7242968(DE-He213)978-981-19-6814-3(OCoLC)1378610667(PPN)269657614(EXLCZ)992655787490004120230614d2023 uy 0engurcnu||||||||txtrdacontentcrdamediacrrdacarrierMachine Learning Safety /Xiaowei Huang, Gaojie Jin, and Wenjie Ruan1st ed. 2023.Singapore :Springer Nature Singapore Pte Ltd.,[2023]©20231 online resource (319 pages)Artificial Intelligence: Foundations, Theory, and Algorithms SeriesPrint version: Huang, Xiaowei Machine Learning Safety Singapore : Springer,c2023 9789811968136 Includes bibliographical references.1. Introduction -- 2. Safety of Simple Machine Learning Models -- 3. Safety of Deep Learning -- 4. Robustness Verification of Deep Learning -- 5. Enhancement to Robustness and Generalization -- 6. Probabilistic Graph Model -- A. Mathematical Foundations -- B. Competitions.Machine learning algorithms allow computers to learn without being explicitly programmed. Their application is now spreading to highly sophisticated tasks across multiple domains, such as medical diagnostics or fully autonomous vehicles. While this development holds great potential, it also raises new safety concerns, as machine learning has many specificities that make its behaviour prediction and assessment very different from that for explicitly programmed software systems. This book addresses the main safety concerns with regard to machine learning, including its susceptibility to environmental noise and adversarial attacks. Such vulnerabilities have become a major roadblock to the deployment of machine learning in safety-critical applications. The book presents up-to-date techniques for adversarial attacks, which are used to assess the vulnerabilities of machine learning models; formal verification, which is used to determine if a trained machine learning model is free of vulnerabilities; and adversarial training, which is used to enhance the training process and reduce vulnerabilities. The book aims to improve readers’ awareness of the potential safety issues regarding machine learning models. In addition, it includes up-to-date techniques for dealing with these issues, equipping readers with not only technical knowledge but also hands-on practical skills.Artificial Intelligence: Foundations, Theory, and Algorithms,2365-306XComputer securityMachine learningSafety measuresComputer security.Machine learningSafety measures.005.8Huang Xiaowei1355348Jin GaojieRuan WenjieMiAaPQMiAaPQMiAaPQ996547963703316Machine Learning Safety3359461UNISA04282nam 2200625 a 450 991078151220332120230725054400.00-19-026763-11-283-42734-697866134273420-19-979562-2(CKB)2550000000075290(EBL)829367(OCoLC)769344041(SSID)ssj0000570511(PQKBManifestationID)11358019(PQKBTitleCode)TC0000570511(PQKBWorkID)10588200(PQKB)10958155(StDuBDS)EDZ0001138869(MiAaPQ)EBC829367(Au-PeEL)EBL829367(CaPaEBR)ebr10520366(CaONFJC)MIL342734(EXLCZ)99255000000007529020101005d2011 uy 0engur|n|---|||||txtccrContrary thinking[electronic resource] selected essays of Daya Krishna /edited by Nalini Bhushan, Jay L. Garfield, and Daniel RavehNew York Oxford University Press20111 online resource (342 p.)Includes index.0-19-979555-X Cover; Contents; Acknowledgments; Preface; Introduction; PART I: Entrée; 1. Thinking versus Thought: Strategies for Conceptual Creativity; PART II: Thinking about Thinking; 2. Thinking Creatively about the Creative Act; 3. Thinking with Causality about "Causality:" Reflections on a "Concept" Determining All Thought about Action and Knowledge; PART III: Samvāda; 4. Comparative Philosophy: What It Is and What It Ought To Be; 5. Apoha and Samavāya in Kantian Perspective; 6. Is "Tat Tvam Asi" the Same Type of Identity Statement as "The Morning Star Is the Evening Star?"; PART IV: Vaidalya7. Rasa : The Bane of Indian Aesthetics8. Substance: The Bane of Philosophy; PART V: Negation; 9. Negation: Can Philosophy Ever Recover from It?; 10. Some Problems Regarding Th inking about Abhāva in the Indian Tradition; PART VI: Knowledge; 11. Knowledge: Whose Is It, What Is It, and Why Has It to Be "True?"; 12. Definition, Deception, and the Enterprise of Knowledge; PART VII: Truth; 13. Madness, Reason, and Truth; 14. Illusion, Hallucination, and the Problem of Truth; 15. Reality, Imagination, and Truth; PART VIII: Indian Philosophical Reflections16. The "Shock-Proof," "Evidence-Proof," "Argument-Proof" World of Sāmpradāyika Scholarship of Indian Philosophy17. Can the Analysis of Adhyāsa Ever Lead to an Advaitic Conclusion?; PART IX: Sruti; 18. Is the Doctrine of Arthavāda Compatible with the Idea of Sruti? The Basic Dilemma for the Revelatory Texts of Any Tradition; 19. The Mīmāmsāka versus the Yājñika: Some Further Problems in the Interpretation of Śruti; PART X: Veda; 20. Rgveda: The Mantra, the Sukta, and the Mandala, or The Rsi, the Devatā, the Chanda: The Structure of the Text and the Problems Regarding It21. The Vedic Corpus and the Two Sutra-Texts Concerned with It: The Mīmām. sasutra and the BrahmasutraPART XI: Transgressions; 22. Did the Gopīs Really Love Krsna? Some Reflections on Bhakti as a Purusārtha in the Indian Tradition; 23. Reflections on an Alleged Anecdote in Śankara's Life; PART XII: Free Thinking; 24. Freeing Philosophy from the "Prison-House" of "I-Centricity"; 25. Freedom, Reason, Ethics, and Aesthetics; Envoi; 26. Eros, Nomos, Logos; Index; A; B; C; D; E; F; G; H; I; J; K; L; M; N; O; P; Q; R; S; T; U; V; Y; WDaya Krishna (1924-2007) was easily the most creative and original Indian philosopher of the second half of the 20th century. His thought and philosophical energy dominated academic Indian philosophy and determined the nature of the engagement of Indian pPhilosophy, IndicPhilosophy, Indic.181/.4Krishna Daya120348Bhushan Nalini1513607Garfield Jay L.1955-252379Raveh Daniel1513608MiAaPQMiAaPQMiAaPQBOOK9910781512203321Contrary thinking3748194UNINA