News

Presentation Schedule

Written on 21.04.2025 13:45 by Ziqing Yang

Dear all,


After receiving your responses, we have arranged a schedule for you to give the presentations.

The presentation starts on 28th April and continues every Monday from 4 pm to 5 pm at CISPA E 9 1 0.07. Two presenters will introduce their preferred papers.

 


28.04.2025

  • 1, Schmitt Francesco Georg, Dummy Grandpa, do you know anything?: Identifying and Characterizing Ad Hominem Fallacy Usage in the Wild
  • 2, Franke Konstantin Maximilian, TROLLMAGNIFIER: Detecting State-Sponsored Troll Accounts on Reddit

05.05.2025

  • 3, Bakowsky Ivo Maximilian, TUBERAIDER: Attributing Coordinated Hate Attacks on YouTube Videos to their Source Communities
  • 4, Lodhi Muhammad Azeem, Aunties, Strangers, and the FBI: Online Privacy Concerns and Experiences of Muslim-American Women

12.05.2025

  • 5, Farooqui Suffiyan Ul Hassan, HateBench: Benchmarking Hate Speech Detectors on LLM-Generated Content and Hate Campaigns
  • 6, Hussain Bakhtiar, HOT ChatGPT: The promise of ChatGPT in detecting and discriminating hateful, offensive, and toxic comments on social media

19.05.2025

  • 7, Siddiqui Ahmed Faraz, Toxicity in ChatGPT: Analyzing Persona-Assigned Language Models
  • 8, Mehta Gautam, DISARM: Detecting the Victims Targeted by Harmful Memes

26.05.2025

  • 9, Bhawkar Khushi Ankush, You Know What I Meme: Enhancing People’s Understanding and Awareness of Hateful Memes Using Crowdsourced Explanations
  • 10, Munduri Lavanya Ratna Sirisha, Understanding and Detecting Hateful Content Using Contrastive Learning

02.06.2025

  • 11, Amin Bilal, On the Evolution of (Hateful) Memes by Means of Multimodal Contrastive Learning
  • 12, Tianze Chang, Safe Latent Diffusion: Mitigating Inappropriate Degeneration in Diffusion Models

16.06.2025

  • 13, Hameed Osama, SneakyPrompt: Jailbreaking Text-to-image Generative Models
  • 14, Knop Vincent, Unsafe Diffusion: On the Generation of Unsafe Images and Hateful Memes From Text-To-Image Models

23.06.2025

  • 15, Aziz Ali Azlan, DeepPhish: Understanding User Trust Towards Artificially Generated Profiles in Online Social Networks
  • 16, Ahmed Hassan, Machine-Made Media: Monitoring the Mobilization of Machine-Generated Articles on Misinformation and Mainstream News Websites

30.06.2025

  • 17, Marciu Vlad Mihai, Synthetic Lies: Understanding AI-Generated Misinformation and Evaluating Algorithmic and Human Solutions
  • 18, Basu Sambit, Bad Actor, Good Advisor: Exploring the Role of Large Language Models in Fake News Detection

07.07.2025

  • 19, Xinyu Zhang, Can LLM-Generated Misinformation Be Detected?
  • 20, Ravichandran Kaviya, Disinformation Detection:  An Evolving Challenge in the Age of LLMs


Best,
Ziqing

Privacy Policy | Legal Notice
If you encounter technical problems, please contact the administrators.