Generative AI Misuse: A Taxonomy of Tactics and Insights from Real-World Data

Generative AI Misuse: A Taxonomy of Tactics and Insights from Real-World Data

2024-06-05 | Nahema Marchal*,1, Rachel Xu*,2, Rasmi Elasmar3, Jason Gabriel1, Beth Goldberg2 and William Isaac1
The paper "Generative AI Misuse: A Taxonomy of Tactics and Insights from Real-World Data" by Nahema Marchal, Rachel Xu, Rasmi Elasmar, Iason Gabriel, Beth Goldberg, and William Isaac, explores the misuse of generative, multimodal artificial intelligence (GenAI) systems. The authors present a taxonomy of GenAI misuse tactics, informed by academic literature and a qualitative analysis of 200 observed incidents of misuse between January 2023 and March 2024. They identify key patterns in misuse, including potential motivations, strategies, and how attackers leverage and abuse system capabilities across modalities (image, text, audio, video). 1. **Taxonomy of Misuse Tactics**: - **Exploitation of GenAI Capabilities**: Tactics include impersonation, sockpuppeting, appropriated likeness, and non-consensual intimate imagery (NCII). - **Compromise of GenAI Systems**: Tactics include adversarial inputs, prompt injections, jailbreaking, model diversion, steganography, data poisoning, privacy compromise, and data exfiltration. 2. **Findings**: - Most reported cases involve exploiting GenAI capabilities rather than direct attacks on systems. - The most prevalent tactics are manipulation of human likeness and falsification of evidence. - Goals include opinion manipulation, monetization, scam and fraud, harassment, and reaching a wider audience. - Misuse tactics are often driven by financial or reputational gain, and they have significant implications for trust, authenticity, and information integrity. 3. **Discussion**: - GenAI tools are primarily exploited for manipulating human likeness and falsifying evidence. - Misuse tactics are often low-tech and accessible, but they have broad societal impacts. - New forms of misuse, such as political outreach and self-promotion, blur the lines between authenticity and deception. - Technical vulnerabilities and social context play crucial roles in enabling misuse. 4. **Conclusion**: - A multi-faceted approach is needed to mitigate GenAI misuse, involving collaboration between policymakers, researchers, industry leaders, and civil society. - Addressing this challenge requires technical advancements and a deeper understanding of social and psychological factors contributing to misuse. The paper provides valuable insights into the evolving landscape of GenAI misuse and its impacts, highlighting the need for ongoing monitoring and research to keep pace with the dynamic nature of the technology.The paper "Generative AI Misuse: A Taxonomy of Tactics and Insights from Real-World Data" by Nahema Marchal, Rachel Xu, Rasmi Elasmar, Iason Gabriel, Beth Goldberg, and William Isaac, explores the misuse of generative, multimodal artificial intelligence (GenAI) systems. The authors present a taxonomy of GenAI misuse tactics, informed by academic literature and a qualitative analysis of 200 observed incidents of misuse between January 2023 and March 2024. They identify key patterns in misuse, including potential motivations, strategies, and how attackers leverage and abuse system capabilities across modalities (image, text, audio, video). 1. **Taxonomy of Misuse Tactics**: - **Exploitation of GenAI Capabilities**: Tactics include impersonation, sockpuppeting, appropriated likeness, and non-consensual intimate imagery (NCII). - **Compromise of GenAI Systems**: Tactics include adversarial inputs, prompt injections, jailbreaking, model diversion, steganography, data poisoning, privacy compromise, and data exfiltration. 2. **Findings**: - Most reported cases involve exploiting GenAI capabilities rather than direct attacks on systems. - The most prevalent tactics are manipulation of human likeness and falsification of evidence. - Goals include opinion manipulation, monetization, scam and fraud, harassment, and reaching a wider audience. - Misuse tactics are often driven by financial or reputational gain, and they have significant implications for trust, authenticity, and information integrity. 3. **Discussion**: - GenAI tools are primarily exploited for manipulating human likeness and falsifying evidence. - Misuse tactics are often low-tech and accessible, but they have broad societal impacts. - New forms of misuse, such as political outreach and self-promotion, blur the lines between authenticity and deception. - Technical vulnerabilities and social context play crucial roles in enabling misuse. 4. **Conclusion**: - A multi-faceted approach is needed to mitigate GenAI misuse, involving collaboration between policymakers, researchers, industry leaders, and civil society. - Addressing this challenge requires technical advancements and a deeper understanding of social and psychological factors contributing to misuse. The paper provides valuable insights into the evolving landscape of GenAI misuse and its impacts, highlighting the need for ongoing monitoring and research to keep pace with the dynamic nature of the technology.
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