Experience the winds of change sweeping through the Telco industry in our informative webinar. Witness a comprehensive transformation of business models and services portfolios as Telcos embrace Artificial Intelligence (AI) as a cornerstone of innovation. Join us as we delve into the world of AI in the Telco space, exploring its vast potential and diverse applications. From intelligent network management to enhanced customer experiences, AI is revolutionizing the industry, paving the way for a future of unprecedented opportunities. Discover how Telcos harness AI's power to drive efficiency, improve decision-making, and deliver cutting-edge services to their customers. Don't miss this engaging session that unravels the impact of AI in shaping the Telco industry's future * This event will be recorded Co-sponsored by: IEEE Future Networks Speaker(s): Karim Rabie Virtual: https://events.vtools.ieee.org/m/413462

In this talk, I will present a detailed research topic about AI Cybersecurity. Our group proposed an advanced gradient-based approach for mitigation of adversarial attacks in Deep Neural Networks (DNN). The proposed approach adopted a random distortion transformation defense method called RDG (Random Distortion over Grids) and we combined it with non-linear defenses to thwart adversarial attacks. Extensive evaluation demonstrated the efficiency of this state-of-art defense approach. Co-sponsored by: Fairleigh Dickinson University Speaker(s): Dr. Meikang Qiu, Agenda: In this talk, I will present a detailed research topic about AI Cybersecurity. Our group proposed an advanced gradient-based approach for mitigation of adversarial attacks in Deep Neural Networks (DNN). The proposed approach adopted a random distortion transformation defense method called RDG (Random Distortion over Grids) and we combined it with non-linear defenses to thwart adversarial attacks. Extensive evaluation demonstrated the efficiency of this state-of-art defense approach. Room: M105, Bldg: Muscarelle Center, M105, , 1000 River Road , Teaneck , New Jersey, United States, 07666, Virtual: https://events.vtools.ieee.org/m/408037

In this talk, I will present a detailed research topic about AI Cybersecurity. Our group proposed an advanced gradient-based approach for mitigation of adversarial attacks in Deep Neural Networks (DNN). The proposed approach adopted a random distortion transformation defense method called RDG (Random Distortion over Grids) and we combined it with non-linear defenses to thwart adversarial attacks. Extensive evaluation demonstrated the efficiency of this state-of-art defense approach. Co-sponsored by: Fairleigh Dickinson University Speaker(s): Dr. Meikang Qiu, Agenda: In this talk, I will present a detailed research topic about AI Cybersecurity. Our group proposed an advanced gradient-based approach for mitigation of adversarial attacks in Deep Neural Networks (DNN). The proposed approach adopted a random distortion transformation defense method called RDG (Random Distortion over Grids) and we combined it with non-linear defenses to thwart adversarial attacks. Extensive evaluation demonstrated the efficiency of this state-of-art defense approach. Room: M105, Bldg: Muscarelle Center, M105, , 1000 River Road , Teaneck , New Jersey, United States, 07666, Virtual: https://events.vtools.ieee.org/m/408037