Location
Hilton Waikoloa Village, Hawaii
Event Website
https://hicss.hawaii.edu/
Start Date
7-1-2025 12:00 AM
End Date
10-1-2025 12:00 AM
Description
Natural language processing (NLP) has gained wider utilization with the emergence of large language models. However, adversarial attacks threaten their reliability. We present an overview of adversarial NLP with an emphasis on challenges, emerging areas and future directions. First, we review attack methods and evaluate the vulnerabilities of popular NLP models. Then, we review defense strategies including adversarial training. We identify key trends and suggest future directions such as the use of Bayesian methods to improve the security and robustness of NLP systems.
Recommended Citation
Shaw, Laxmi; Ansari, Mohammed Wasim; and Ekin, Tahir, "Adversarial Natural Language Processing: Overview, Challenges and Future Directions" (2025). Hawaii International Conference on System Sciences 2025 (HICSS-58). 4.
https://aisel.aisnet.org/hicss-58/da/security_through_text_analytics/4
Adversarial Natural Language Processing: Overview, Challenges and Future Directions
Hilton Waikoloa Village, Hawaii
Natural language processing (NLP) has gained wider utilization with the emergence of large language models. However, adversarial attacks threaten their reliability. We present an overview of adversarial NLP with an emphasis on challenges, emerging areas and future directions. First, we review attack methods and evaluate the vulnerabilities of popular NLP models. Then, we review defense strategies including adversarial training. We identify key trends and suggest future directions such as the use of Bayesian methods to improve the security and robustness of NLP systems.
https://aisel.aisnet.org/hicss-58/da/security_through_text_analytics/4