Exposing Privacy Risks in Generative AI
Wed 04.03.24
6:00P EDT | 1 Hour 30 Minute Event
Exposing Privacy Risks in Generative AI
Wed 04.03.24
6:00P EDT
1 Hour 30 Minute Event
Wed 04.03.24
6:00P EDT | 1 Hour 30 Minute Event
Wed 04.03.24
6:00P EDT
1 Hour 30 Minute Event
Wed 04.03.24
6:00P EDT | 1 Hour 30 Minute Event
Wed 04.03.24
6:00P EDT
1 Hour 30 Minute Event
Exposing Privacy Risks in Generative AI
Join Northeastern University’s Khoury College of Computer Science’s cybersecurity experts to discuss privacy concerns related to generative AI. Faculty members, including Laura Edelson, Tianshi Li, and PhD student Johanna Gunawan, will discuss the latest issues and their work in this area. This free talk will be held at the Northeastern University campus in Arlington, Virginia.
Laura Edelson
Assistant Professor
Laura is motivated by the global challenge posed by misinformation. She aims to make social media platforms safer and more beneficial for users.
She has conducted large-scale analyses of online paid political content on multiple platforms such as Facebook, Google, and X, and developed methods to help detect inauthentic content.
Tianshi Li
Visiting Assistant Professor
Tianshi’s research interests include usable privacy, security in mobile apps, and novel privacy issues in human–large language model (LLM) interactions.
In her PhD research, she helped create a series of integrated development environment plugins to help developers build mobile apps with native privacy support. She is currently working at Google on other projects related to privacy compliance intelligence.
Johanna Gunawan
PhD Candidate
Johanna’s research interests meet at the intersection of privacy, policy, consumer advocacy, and human–computer interaction, she has most recently focused her work on dark patterns and manipulative interfaces, and the legal implications of their use.
She is a prior Align master’s student with work experience at Rapid7 and Akamai Technologies.
Exposing Privacy Risks in Generative AI
Join Northeastern University’s Khoury College of Computer Science’s cybersecurity experts to discuss privacy concerns related to generative AI. Faculty members, including Laura Edelson, Tianshi Li, and PhD student Johanna Gunawan, will discuss the latest issues and their work in this area. This free talk will be held at the Northeastern University campus in Arlington, Virginia.
Laura Edelson
Assistant Professor
Laura is motivated by the global challenge posed by misinformation. She aims to make social media platforms safer and more beneficial for users.
She has conducted large-scale analyses of online paid political content on multiple platforms such as Facebook, Google, and X, and developed methods to help detect inauthentic content.
Tianshi Li
Visiting Assistant Professor
Tianshi’s research interests include usable privacy, security in mobile apps, and novel privacy issues in human–large language model (LLM) interactions.
In her PhD research, she helped create a series of integrated development environment plugins to help developers build mobile apps with native privacy support. She is currently working at Google on other projects related to privacy compliance intelligence.
Johanna Gunawan
PhD Candidate
Johanna’s research interests meet at the intersection of privacy, policy, consumer advocacy, and human–computer interaction, she has most recently focused her work on dark patterns and manipulative interfaces, and the legal implications of their use.
She is a prior Align master’s student with work experience at Rapid7 and Akamai Technologies.
Exposing Privacy Risks in Generative AI
Join Northeastern University’s Khoury College of Computer Science’s cybersecurity experts to discuss privacy concerns related to generative AI. Faculty members, including Laura Edelson, Tianshi Li, and PhD student Johanna Gunawan, will discuss the latest issues and their work in this area. This free talk will be held at the Northeastern University campus in Arlington, Virginia.
Laura Edelson
Assistant Professor
Laura is motivated by the global challenge posed by misinformation. She aims to make social media platforms safer and more beneficial for users.
She has conducted large-scale analyses of online paid political content on multiple platforms such as Facebook, Google, and X, and developed methods to help detect inauthentic content.
Tianshi Li
Visiting Assistant Professor
Tianshi’s research interests include usable privacy, security in mobile apps, and novel privacy issues in human–large language model (LLM) interactions.
In her PhD research, she helped create a series of integrated development environment plugins to help developers build mobile apps with native privacy support. She is currently working at Google on other projects related to privacy compliance intelligence.
Johanna Gunawan
PhD Candidate
Johanna’s research interests meet at the intersection of privacy, policy, consumer advocacy, and human–computer interaction, she has most recently focused her work on dark patterns and manipulative interfaces, and the legal implications of their use.
She is a prior Align master’s student with work experience at Rapid7 and Akamai Technologies.
Exposing Privacy Risks in Generative AI
Join Northeastern University’s Khoury College of Computer Science’s cybersecurity experts to discuss privacy concerns related to generative AI. Faculty members, including Laura Edelson, Tianshi Li, and PhD student Johanna Gunawan, will discuss the latest issues and their work in this area. This free talk will be held at the Northeastern University campus in Arlington, Virginia.
Laura Edelson
Assistant Professor
Laura is motivated by the global challenge posed by misinformation. She aims to make social media platforms safer and more beneficial for users.
She has conducted large-scale analyses of online paid political content on multiple platforms such as Facebook, Google, and X, and developed methods to help detect inauthentic content.
Tianshi Li
Visiting Assistant Professor
Tianshi’s research interests include usable privacy, security in mobile apps, and novel privacy issues in human–large language model (LLM) interactions.
In her PhD research, she helped create a series of integrated development environment plugins to help developers build mobile apps with native privacy support. She is currently working at Google on other projects related to privacy compliance intelligence.
Johanna Gunawan
PhD Candidate
Johanna’s research interests meet at the intersection of privacy, policy, consumer advocacy, and human–computer interaction, she has most recently focused her work on dark patterns and manipulative interfaces, and the legal implications of their use.
She is a prior Align master’s student with work experience at Rapid7 and Akamai Technologies.