Can LLMs Infer Conversational Agent Users' Personality Traits from Chat History?
Fuente:
arXiv
Saved in:
| Main Authors: | Cögendez, Derya, Zimmermann, Verena, Zufferey, Noé |
|---|---|
| Format: | Preprint |
| Published: |
2026
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
How Well Can LLM Agents Simulate End-User Security and Privacy Attitudes and Behaviors?
by: Li, Yuxuan, et al.
Published: (2026)
by: Li, Yuxuan, et al.
Published: (2026)
The Earth is Flat because...: Investigating LLMs' Belief towards Misinformation via Persuasive Conversation
by: Xu, Rongwu, et al.
Published: (2023)
by: Xu, Rongwu, et al.
Published: (2023)
AuditGPT: Auditing Smart Contracts with ChatGPT
by: Xia, Shihao, et al.
Published: (2024)
by: Xia, Shihao, et al.
Published: (2024)
TombRaider: Entering the Vault of History to Jailbreak Large Language Models
by: Ding, Junchen, et al.
Published: (2025)
by: Ding, Junchen, et al.
Published: (2025)
Beyond Context: Large Language Models' Failure to Grasp Users' Intent
by: Hussain, Ahmed M., et al.
Published: (2025)
by: Hussain, Ahmed M., et al.
Published: (2025)
Medical Malice: A Dataset for Context-Aware Safety in Healthcare LLMs
by: D'addario, Andrew Maranhão Ventura
Published: (2025)
by: D'addario, Andrew Maranhão Ventura
Published: (2025)
A Survey on Responsible LLMs: Inherent Risk, Malicious Use, and Mitigation Strategy
by: Wang, Huandong, et al.
Published: (2025)
by: Wang, Huandong, et al.
Published: (2025)
Protecting Users From Themselves: Safeguarding Contextual Privacy in Interactions with Conversational Agents
by: Ngong, Ivoline, et al.
Published: (2025)
by: Ngong, Ivoline, et al.
Published: (2025)
Malicious LLM-Based Conversational AI Makes Users Reveal Personal Information
by: Zhan, Xiao, et al.
Published: (2025)
by: Zhan, Xiao, et al.
Published: (2025)
Nuclear Deployed: Analyzing Catastrophic Risks in Decision-making of Autonomous LLM Agents
by: Xu, Rongwu, et al.
Published: (2025)
by: Xu, Rongwu, et al.
Published: (2025)
Exfiltration of personal information from ChatGPT via prompt injection
by: Schwartzman, Gregory
Published: (2024)
by: Schwartzman, Gregory
Published: (2024)
LLM Platform Security: Applying a Systematic Evaluation Framework to OpenAI's ChatGPT Plugins
by: Iqbal, Umar, et al.
Published: (2023)
by: Iqbal, Umar, et al.
Published: (2023)
Can a large language model be a gaslighter?
by: Li, Wei, et al.
Published: (2024)
by: Li, Wei, et al.
Published: (2024)
BadScientist: Can a Research Agent Write Convincing but Unsound Papers that Fool LLM Reviewers?
by: Jiang, Fengqing, et al.
Published: (2025)
by: Jiang, Fengqing, et al.
Published: (2025)
NeuroFilter: Privacy Guardrails for Conversational LLM Agents
by: Das, Saswat, et al.
Published: (2026)
by: Das, Saswat, et al.
Published: (2026)
SWAN: Semantic Watermarking with Abstract Meaning Representation
by: Ye, Ziping, et al.
Published: (2026)
by: Ye, Ziping, et al.
Published: (2026)
ROK-FORTRESS: Measuring the Effect of Geopolitical Transcreation for National Security and Public Safety
by: Lee, Michael S., et al.
Published: (2026)
by: Lee, Michael S., et al.
Published: (2026)
Jailbreak-Tuning: Models Efficiently Learn Jailbreak Susceptibility
by: Murphy, Brendan, et al.
Published: (2025)
by: Murphy, Brendan, et al.
Published: (2025)
How Alignment and Jailbreak Work: Explain LLM Safety through Intermediate Hidden States
by: Zhou, Zhenhong, et al.
Published: (2024)
by: Zhou, Zhenhong, et al.
Published: (2024)
Phare: A Safety Probe for Large Language Models
by: Jeune, Pierre Le, et al.
Published: (2025)
by: Jeune, Pierre Le, et al.
Published: (2025)
Attacks on Third-Party APIs of Large Language Models
by: Zhao, Wanru, et al.
Published: (2024)
by: Zhao, Wanru, et al.
Published: (2024)
Bridging the Copyright Gap: Do Large Vision-Language Models Recognize and Respect Copyrighted Content?
by: Xu, Naen, et al.
Published: (2025)
by: Xu, Naen, et al.
Published: (2025)
Complete Evasion, Zero Modification: PDF Attacks on AI Text Detection
by: Creo, Aldan
Published: (2025)
by: Creo, Aldan
Published: (2025)
RealHarm: A Collection of Real-World Language Model Application Failures
by: Jeune, Pierre Le, et al.
Published: (2025)
by: Jeune, Pierre Le, et al.
Published: (2025)
Blueprints of Trust: AI System Cards for End to End Transparency and Governance
by: Sidhpurwala, Huzaifa, et al.
Published: (2025)
by: Sidhpurwala, Huzaifa, et al.
Published: (2025)
Children's Voice Privacy: First Steps And Emerging Challenges
by: Kulkarni, Ajinkya, et al.
Published: (2025)
by: Kulkarni, Ajinkya, et al.
Published: (2025)
ConVerse: Benchmarking Contextual Safety in Agent-to-Agent Conversations
by: Gomaa, Amr, et al.
Published: (2025)
by: Gomaa, Amr, et al.
Published: (2025)
A Whole New World: Creating a Parallel-Poisoned Web Only AI-Agents Can See
by: Zychlinski, Shaked
Published: (2025)
by: Zychlinski, Shaked
Published: (2025)
Just Do It!? Computer-Use Agents Exhibit Blind Goal-Directedness
by: Shayegani, Erfan, et al.
Published: (2025)
by: Shayegani, Erfan, et al.
Published: (2025)
On the Suitability of LLM-Driven Agents for Dark Pattern Audits
by: Sun, Chen, et al.
Published: (2026)
by: Sun, Chen, et al.
Published: (2026)
A Proposal for Evaluating the Operational Risk for ChatBots based on Large Language Models
by: Pinacho-Davidson, Pedro, et al.
Published: (2025)
by: Pinacho-Davidson, Pedro, et al.
Published: (2025)
Virus Infection Attack on LLMs: Your Poisoning Can Spread "VIA" Synthetic Data
by: Liang, Zi, et al.
Published: (2025)
by: Liang, Zi, et al.
Published: (2025)
You Can't Steal Nothing: Mitigating Prompt Leakages in LLMs via System Vectors
by: Cao, Bochuan, et al.
Published: (2025)
by: Cao, Bochuan, et al.
Published: (2025)
No Attacker Needed: Unintentional Cross-User Contamination in Shared-State LLM Agents
by: Yang, Tiankai, et al.
Published: (2026)
by: Yang, Tiankai, et al.
Published: (2026)
Topology Matters: Measuring Memory Leakage in Multi-Agent LLMs
by: Liu, Jinbo, et al.
Published: (2025)
by: Liu, Jinbo, et al.
Published: (2025)
Exploring Backdoor Vulnerabilities of Chat Models
by: Hao, Yunzhuo, et al.
Published: (2024)
by: Hao, Yunzhuo, et al.
Published: (2024)
Can LLMs Obfuscate Code? A Systematic Analysis of Large Language Models into Assembly Code Obfuscation
by: Mohseni, Seyedreza, et al.
Published: (2024)
by: Mohseni, Seyedreza, et al.
Published: (2024)
Can LLMs Keep a Secret? Testing Privacy Implications of Language Models via Contextual Integrity Theory
by: Mireshghallah, Niloofar, et al.
Published: (2023)
by: Mireshghallah, Niloofar, et al.
Published: (2023)
MIRAGE: Context-Aware Prompt Injection against Mobile GUI Agents via User-Generated Content
by: Guo, Ruoqi, et al.
Published: (2026)
by: Guo, Ruoqi, et al.
Published: (2026)
User Privacy and Large Language Models: An Analysis of Frontier Developers' Privacy Policies
by: King, Jennifer, et al.
Published: (2025)
by: King, Jennifer, et al.
Published: (2025)
Similar Items
-
How Well Can LLM Agents Simulate End-User Security and Privacy Attitudes and Behaviors?
by: Li, Yuxuan, et al.
Published: (2026) -
The Earth is Flat because...: Investigating LLMs' Belief towards Misinformation via Persuasive Conversation
by: Xu, Rongwu, et al.
Published: (2023) -
AuditGPT: Auditing Smart Contracts with ChatGPT
by: Xia, Shihao, et al.
Published: (2024) -
TombRaider: Entering the Vault of History to Jailbreak Large Language Models
by: Ding, Junchen, et al.
Published: (2025) -
Beyond Context: Large Language Models' Failure to Grasp Users' Intent
by: Hussain, Ahmed M., et al.
Published: (2025)