sudoLLM: On Multi-role Alignment of Language Models
Fuente:
arXiv
Saved in:
| Main Authors: | Saha, Soumadeep, Chaturvedi, Akshay, Mahapatra, Joy, Garain, Utpal |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
KisMATH: Do LLMs Have Knowledge of Implicit Structures in Mathematical Reasoning?
by: Saha, Soumadeep, et al.
Published: (2025)
by: Saha, Soumadeep, et al.
Published: (2025)
Language Models are Crossword Solvers
by: Saha, Soumadeep, et al.
Published: (2024)
by: Saha, Soumadeep, et al.
Published: (2024)
Operationalizing a Threat Model for Red-Teaming Large Language Models (LLMs)
by: Verma, Apurv, et al.
Published: (2024)
by: Verma, Apurv, et al.
Published: (2024)
Watermarking Degrades Alignment in Language Models: Analysis and Mitigation
by: Verma, Apurv, et al.
Published: (2025)
by: Verma, Apurv, et al.
Published: (2025)
UniC-RAG: Universal Knowledge Corruption Attacks to Retrieval-Augmented Generation
by: Geng, Runpeng, et al.
Published: (2025)
by: Geng, Runpeng, et al.
Published: (2025)
Blind Spots in the Guard: How Domain-Camouflaged Injection Attacks Evade Detection in Multi-Agent LLM Systems
by: Pai, Aaditya
Published: (2026)
by: Pai, Aaditya
Published: (2026)
MarkLLM: An Open-Source Toolkit for LLM Watermarking
by: Pan, Leyi, et al.
Published: (2024)
by: Pan, Leyi, et al.
Published: (2024)
Large Language Models are Advanced Anonymizers
by: Staab, Robin, et al.
Published: (2024)
by: Staab, Robin, et al.
Published: (2024)
A Semantic Invariant Robust Watermark for Large Language Models
by: Liu, Aiwei, et al.
Published: (2023)
by: Liu, Aiwei, et al.
Published: (2023)
Defending against Backdoor Attacks via Module Switching
by: Li, Weijun, et al.
Published: (2025)
by: Li, Weijun, et al.
Published: (2025)
Jailbreaking Attacks vs. Content Safety Filters: How Far Are We in the LLM Safety Arms Race?
by: Xin, Yuan, et al.
Published: (2025)
by: Xin, Yuan, et al.
Published: (2025)
GuardVal: Dynamic Large Language Model Jailbreak Evaluation for Comprehensive Safety Testing
by: Zhang, Peiyan, et al.
Published: (2025)
by: Zhang, Peiyan, et al.
Published: (2025)
POISONCRAFT: Practical Poisoning of Retrieval-Augmented Generation for Large Language Models
by: Shao, Yangguang, et al.
Published: (2025)
by: Shao, Yangguang, et al.
Published: (2025)
Evaluating the Robustness of Large Language Model Safety Guardrails Against Adversarial Attacks
by: Young, Richard J.
Published: (2025)
by: Young, Richard J.
Published: (2025)
Evaluating the efficacy of LLM Safety Solutions : The Palit Benchmark Dataset
by: Palit, Sayon, et al.
Published: (2025)
by: Palit, Sayon, et al.
Published: (2025)
Terrarium: Revisiting the Blackboard for Multi-Agent Safety, Privacy, and Security Studies
by: Nakamura, Mason, et al.
Published: (2025)
by: Nakamura, Mason, et al.
Published: (2025)
Ignore Me But Don't Replace Me: Utilizing Non-Linguistic Elements for Pretraining on the Cybersecurity Domain
by: Jang, Eugene, et al.
Published: (2024)
by: Jang, Eugene, et al.
Published: (2024)
Prompted Contextual Vectors for Spear-Phishing Detection
by: Nahmias, Daniel, et al.
Published: (2024)
by: Nahmias, Daniel, et al.
Published: (2024)
Can Watermarked LLMs be Identified by Users via Crafted Prompts?
by: Liu, Aiwei, et al.
Published: (2024)
by: Liu, Aiwei, et al.
Published: (2024)
Scaling Trends in Language Model Robustness
by: Howe, Nikolaus, et al.
Published: (2024)
by: Howe, Nikolaus, et al.
Published: (2024)
Adversarial Attacks on Large Language Models Using Regularized Relaxation
by: Chacko, Samuel Jacob, et al.
Published: (2024)
by: Chacko, Samuel Jacob, et al.
Published: (2024)
Unlocking the Potential of Large Language Models for Clinical Text Anonymization: A Comparative Study
by: Pissarra, David, et al.
Published: (2024)
by: Pissarra, David, et al.
Published: (2024)
Super Suffixes: Bypassing Text Generation Alignment and Guard Models Simultaneously
by: Adiletta, Andrew, et al.
Published: (2025)
by: Adiletta, Andrew, et al.
Published: (2025)
Efficient LLM Safety Evaluation through Multi-Agent Debate
by: Lin, Dachuan, et al.
Published: (2025)
by: Lin, Dachuan, et al.
Published: (2025)
Seeing the Forest through the Trees: Data Leakage from Partial Transformer Gradients
by: Li, Weijun, et al.
Published: (2024)
by: Li, Weijun, et al.
Published: (2024)
Learning Obfuscations Of LLM Embedding Sequences: Stained Glass Transform
by: Roberts, Jay, et al.
Published: (2025)
by: Roberts, Jay, et al.
Published: (2025)
DWFS-Obfuscation: Dynamic Weighted Feature Selection for Robust Malware Familial Classification under Obfuscation
by: Wei, Xingyuan, et al.
Published: (2025)
by: Wei, Xingyuan, et al.
Published: (2025)
Scaling Patterns in Adversarial Alignment: Evidence from Multi-LLM Jailbreak Experiments
by: Nathanson, Samuel, et al.
Published: (2025)
by: Nathanson, Samuel, et al.
Published: (2025)
Powerful Training-Free Membership Inference Against Autoregressive Language Models
by: Ilić, David, et al.
Published: (2026)
by: Ilić, David, et al.
Published: (2026)
Quantifying Return on Security Controls in LLM Systems
by: Moulton, Richard Helder, et al.
Published: (2025)
by: Moulton, Richard Helder, et al.
Published: (2025)
Same Payload, Different Channel: Measuring Trust Asymmetry in Tool-Using Language Models
by: Syed, Mohammed Sameer, et al.
Published: (2026)
by: Syed, Mohammed Sameer, et al.
Published: (2026)
ConfusionPrompt: Practical Private Inference for Online Large Language Models
by: Mai, Peihua, et al.
Published: (2023)
by: Mai, Peihua, et al.
Published: (2023)
Protection Is (Nearly) All You Need: Structural Protection Dominates Scoring in Globally Capped KV Eviction
by: Garcia, Gabriel
Published: (2026)
by: Garcia, Gabriel
Published: (2026)
Adversarial Feeds Steer LLM Agent Decisions Against Their Defaults
by: Usman, Rana Muhammad
Published: (2026)
by: Usman, Rana Muhammad
Published: (2026)
PromptSAM+: Malware Detection based on Prompt Segment Anything Model
by: Wei, Xingyuan, et al.
Published: (2024)
by: Wei, Xingyuan, et al.
Published: (2024)
Temporal Attack Pattern Detection in Multi-Agent AI Workflows: An Open Framework for Training Trace-Based Security Models
by: Del Rosario, Ron F.
Published: (2025)
by: Del Rosario, Ron F.
Published: (2025)
Semantic Leakage from Image Embeddings
by: Chen, Yiyi, et al.
Published: (2026)
by: Chen, Yiyi, et al.
Published: (2026)
Safeguarding Efficacy in Large Language Models: Evaluating Resistance to Human-Written and Algorithmic Adversarial Prompts
by: Downey-Webb, Tiarnaigh, et al.
Published: (2025)
by: Downey-Webb, Tiarnaigh, et al.
Published: (2025)
Exploiting Novel GPT-4 APIs
by: Pelrine, Kellin, et al.
Published: (2023)
by: Pelrine, Kellin, et al.
Published: (2023)
PoTS: Proof-of-Training-Steps for Backdoor Detection in Large Language Models
by: Seddik, Issam, et al.
Published: (2025)
by: Seddik, Issam, et al.
Published: (2025)
Similar Items
-
KisMATH: Do LLMs Have Knowledge of Implicit Structures in Mathematical Reasoning?
by: Saha, Soumadeep, et al.
Published: (2025) -
Language Models are Crossword Solvers
by: Saha, Soumadeep, et al.
Published: (2024) -
Operationalizing a Threat Model for Red-Teaming Large Language Models (LLMs)
by: Verma, Apurv, et al.
Published: (2024) -
Watermarking Degrades Alignment in Language Models: Analysis and Mitigation
by: Verma, Apurv, et al.
Published: (2025) -
UniC-RAG: Universal Knowledge Corruption Attacks to Retrieval-Augmented Generation
by: Geng, Runpeng, et al.
Published: (2025)