Adversarial Attacks on Machine Learning – An Appraisal
Technological evolution continues to define the contours of modern-day society. Amongst the proliferating list of enablers, Machine Learning (ML)
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Research Associate
Shaza Arif serves as a Research Associate at the Centre for Aerospace & Security Studies (CASS) in Islamabad. She is also pursuing an MPhil in Public Management at Fatima Jinnah Women University, Rawalpindi, after having graduated with distinction in BSc (Hons) Defence and Diplomatic Studies from the same university.
Ms Arif’s expertise spans National Security & Strategy, Defence Modernisation, Nuclear Security, and Artificial Intelligence. She has made her mark by participating in various international conferences and workshops, including those at Durban University of Technology in South Africa, Tsinghua University in China, and the Royal Scientific Society in Jordan. Furthermore, she has collaborated with the British American Security Information Council (BASIC) on the Nuclear Responsibilities Project and currently serves as a Board Member for BASIC’s Emerging Voices Network (EVN). Her insights are frequently featured in both domestic and international newspapers and journals, underlining her contributions to her fields of study.
Technological evolution continues to define the contours of modern-day society. Amongst the proliferating list of enablers, Machine Learning (ML)
524 views
In this English iteration of L’Inde de Modi: National-populisme et démocratie ethnique, Christophe Jaffrelot explains the political journey of Narendra Modi.
407 views
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