Cover Image

An indicator for effectiveness of text-to-image guardrails utilizing the Single-Turn Crescendo Attack (STCA)

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Kwartler, Ted, Bagan, Nataliia, Banny, Ivan, Aqrawi, Alan, Abbasi, Arian
Format:	Preprint
Published:	2024
Subjects:	Cryptography and Security Computation and Language
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Well, that escalated quickly: The Single-Turn Crescendo Attack (STCA)
by: Aqrawi, Alan, et al.
Published: (2024)

Good Parenting is all you need -- Multi-agentic LLM Hallucination Mitigation
by: Kwartler, Ted, et al.
Published: (2024)

How (un)ethical are instruction-centric responses of LLMs? Unveiling the vulnerabilities of safety guardrails to harmful queries
by: Banerjee, Somnath, et al.
Published: (2024)

Great, Now Write an Article About That: The Crescendo Multi-Turn LLM Jailbreak Attack
by: Russinovich, Mark, et al.
Published: (2024)

How reparametrization trick broke differentially-private text representation learning
by: Habernal, Ivan
Published: (2022)

Let the Bees Find the Weak Spots: A Path Planning Perspective on Multi-Turn Jailbreak Attacks against LLMs
by: Liu, Yize, et al.
Published: (2025)

Emerging Vulnerabilities in Frontier Models: Multi-Turn Jailbreak Attacks
by: Gibbs, Tom, et al.
Published: (2024)

Reasoning-Augmented Conversation for Multi-Turn Jailbreak Attacks on Large Language Models
by: Ying, Zonghao, et al.
Published: (2025)

Chain of Attack: a Semantic-Driven Contextual Multi-Turn attacker for LLM
by: Yang, Xikang, et al.
Published: (2024)

Is Your Prompt Safe? Investigating Prompt Injection Attacks Against Open-Source LLMs
by: Wang, Jiawen, et al.
Published: (2025)

Siren: A Learning-Based Multi-Turn Attack Framework for Simulating Real-World Human Jailbreak Behaviors
by: Zhao, Yi, et al.
Published: (2025)

Membership Inference Attacks Against In-Context Learning
by: Wen, Rui, et al.
Published: (2024)

Black-Box Guardrail Reverse-engineering Attack
by: Yao, Hongwei, et al.
Published: (2025)

ScaleOT: Privacy-utility-scalable Offsite-tuning with Dynamic LayerReplace and Selective Rank Compression
by: Yao, Kai, et al.
Published: (2024)

Task-Agnostic Detector for Insertion-Based Backdoor Attacks
by: Lyu, Weimin, et al.
Published: (2024)

Security Attacks on LLM-based Code Completion Tools
by: Cheng, Wen, et al.
Published: (2024)

Prompt Stealing Attacks Against Large Language Models
by: Sha, Zeyang, et al.
Published: (2024)

SBFA: Single Sneaky Bit Flip Attack to Break Large Language Models
by: Guo, Jingkai, et al.
Published: (2025)

Privacy in Large Language Models: Attacks, Defenses and Future Directions
by: Li, Haoran, et al.
Published: (2023)

Data Extraction Attacks in Retrieval-Augmented Generation via Backdoors
by: Peng, Yuefeng, et al.
Published: (2024)

MPMA: Preference Manipulation Attack Against Model Context Protocol
by: Wang, Zihan, et al.
Published: (2025)

Denial-of-Service Poisoning Attacks against Large Language Models
by: Gao, Kuofeng, et al.
Published: (2024)

BinarySelect to Improve Accessibility of Black-Box Attack Research
by: Ghosh, Shatarupa, et al.
Published: (2024)

Evolve the Method, Not the Prompts: Evolutionary Synthesis of Jailbreak Attacks on LLMs
by: Chen, Yunhao, et al.
Published: (2025)

One Turn Too Late: Response-Aware Defense Against Hidden Malicious Intent in Multi-Turn Dialogue
by: Shen, Xinjie, et al.
Published: (2026)

PandaGuard: Systematic Evaluation of LLM Safety against Jailbreaking Attacks
by: Shen, Guobin, et al.
Published: (2025)

RAG Safety: Exploring Knowledge Poisoning Attacks to Retrieval-Augmented Generation
by: Zhao, Tianzhe, et al.
Published: (2025)

PRSA: Prompt Stealing Attacks against Real-World Prompt Services
by: Yang, Yong, et al.
Published: (2024)

Harnessing Task Overload for Scalable Jailbreak Attacks on Large Language Models
by: Dong, Yiting, et al.
Published: (2024)

Counterfactual Evaluation for Blind Attack Detection in LLM-based Evaluation Systems
by: Liu, Lijia, et al.
Published: (2025)

Cross-Lingual Summarization as a Black-Box Watermark Removal Attack
by: Ganesan, Gokul
Published: (2025)

Defending LLM Watermarking Against Spoofing Attacks with Contrastive Representation Learning
by: An, Li, et al.
Published: (2025)

Securing Genomic Data Against Inference Attacks in Federated Learning Environments
by: Pathade, Chetan, et al.
Published: (2025)

No Two Devils Alike: Unveiling Distinct Mechanisms of Fine-tuning Attacks
by: Leong, Chak Tou, et al.
Published: (2024)

Talk is (Not) Cheap: A Taxonomy and Benchmark Coverage Audit for LLM Attacks
by: Iyer, Karthik Raghu, et al.
Published: (2026)

Fact2Fiction: Targeted Poisoning Attack to Agentic Fact-checking System
by: He, Haorui, et al.
Published: (2025)

Large Language Models are Good Attackers: Efficient and Stealthy Textual Backdoor Attacks
by: Li, Ziqiang, et al.
Published: (2024)

Mitigating Fine-tuning based Jailbreak Attack with Backdoor Enhanced Safety Alignment
by: Wang, Jiongxiao, et al.
Published: (2024)

Adversarial Attacks on LLM-as-a-Judge Systems: Insights from Prompt Injections
by: Maloyan, Narek, et al.
Published: (2025)

RedTWIZ: Diverse LLM Red Teaming via Adaptive Attack Planning
by: Horal, Artur, et al.
Published: (2025)