IEEE Signal Processing Society Santa Clara Valley Chapter

Description The past year has seen both peak hype and significant issues for the automated vehicle industry. In this talk we recap general trends and summarize the current situation for autonomous vehicles such as robotaxis, as well as conventional vehicles that have automated steering features. Many of the issues the industry faces are self-inflicted, stemming from a combination of inflated promises, attempts to scale immature technology too aggressively, and an overly narrow view of safety. Overall, the companies deploying the technology have failed to address legitimate concerns of a wide variety of stakeholders. There are a number of different aspects that still need to be addressed including: legislation, regulation, liability, insurance, driver skills, traffic enforcement, emergency services, vulnerable road users, engineering standards, business models, public messaging, investor pressure, cultural change, ethical/equity concerns, and local oversight. We concentrate on how all these pieces need to fit together to create sustainable automated vehicle technology approaches. Speaker Philip Koopman ("KOPE-man") is a professor at Carnegie Mellon University in Pittsburgh Pennsylvania, USA, who has been working on self-driving car safety for more than 25 years. Prof. Philip Koopman is an internationally recognized expert on Autonomous Vehicle (AV) safety whose work in that area spans over 25 years. He is also actively involved with AV policy and standards as well as more general embedded system design and software quality. His pioneering research work includes software robustness testing and run time monitoring of autonomous systems to identify how they break and how to fix them. He has extensive experience in software safety and software quality across numerous transportation, industrial, and defense application domains including conventional automotive software and hardware systems. He is a faculty member of the Carnegie Mellon University ECE department where he teaches software skills for mission-critical systems.

With the implementation and wide application of related tools such as ChatGPT and Sora, people realized that seeing is indeed no longer believing. More recently, the emergence of diffusion models with powerful generation capabilities has driven this topic forward. Subsequently, as the powerful tools for deepfake generation, corresponding detection technologies continuously evolved hence raising more security concerns of the public. This talk will discuss the development of multimedia forensics and focus on researching four representative deepfake fields: face swapping/face reenactment, talking face generation, and facial attribute editing, as well as forgery and deepfake detection and will finally analyze the  challenges and future research directions of the discussed fields.

In this discussion we will shine a light on the socio-technological nature of image credibility, considering the technological landscape of image generation and the human factors involved in ascertaining trustworthiness of images. We will then turn our attention to the advances being made in combatting the seemingly intractable and ever-increasing tsunami of uncertain online imagery. In particular, we will review a soon to be released JPEG ISO standard designed to support trust in images: JPEG Trust (ISO/IEC JTC 1/SC 29/WG 1), which provides a comprehensive framework for individuals, organizations, and governing institutions interested in establishing an environment of trust for the media that they use and share online.