Cover Image

Open Sesame! Universal Black Box Jailbreaking of Large Language Models

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Lapid, Raz, Langberg, Ron, Sipper, Moshe
Format:	Preprint
Published:	2023
Subjects:	Computation and Language Computer Vision and Pattern Recognition Neural and Evolutionary Computing
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Patch of Invisibility: Naturalistic Physical Black-Box Adversarial Attacks on Object Detectors
by: Lapid, Raz, et al.
Published: (2023)

In Search of the Ingredients of Open-Endedness: Replicating Picbreeder with Large Vision-Language Models
by: Earle, Sam, et al.
Published: (2026)

Classy Ensemble: A Novel Ensemble Algorithm for Classification
by: Sipper, Moshe
Published: (2023)

Pulling Back the Curtain: Unsupervised Adversarial Detection via Contrastive Auxiliary Networks
by: Mizrahi, Eylon, et al.
Published: (2025)

Genetic Programming Theory and Practice: A Fifteen-Year Trajectory
by: Sipper, Moshe, et al.
Published: (2024)

Knowledge Fusion By Evolving Weights of Language Models
by: Du, Guodong, et al.
Published: (2024)

On the Robustness of Kolmogorov-Arnold Networks: An Adversarial Perspective
by: Alter, Tal, et al.
Published: (2024)

Fortify the Guardian, Not the Treasure: Resilient Adversarial Detectors
by: Lapid, Raz, et al.
Published: (2024)

Task and Explanation Network
by: Sipper, Moshe
Published: (2024)

BiomedXPro: Prompt Optimization for Explainable Diagnosis with Biomedical Vision Language Models
by: Silva, Kaushitha, et al.
Published: (2025)

SpikeCLIP: A Contrastive Language-Image Pretrained Spiking Neural Network
by: Lv, Changze, et al.
Published: (2023)

Breaking Free: How to Hack Safety Guardrails in Black-Box Diffusion Models!
by: Kotyan, Shashank, et al.
Published: (2024)

Event Stream-based Sign Language Translation: A High-Definition Benchmark Dataset and A Novel Baseline
by: Wang, Shiao, et al.
Published: (2024)

JRadiEvo: A Japanese Radiology Report Generation Model Enhanced by Evolutionary Optimization of Model Merging
by: Baba, Kaito, et al.
Published: (2024)

Coevolving Artistic Images Using OMNIREP
by: Sipper, Moshe, et al.
Published: (2024)

New Pathways in Coevolutionary Computation
by: Sipper, Moshe, et al.
Published: (2024)

Spiking Diffusion Models
by: Cao, Jiahang, et al.
Published: (2024)

LLM-Guided Evolution: An Autonomous Model Optimization for Object Detection
by: Yu, YiMing, et al.
Published: (2025)

Structure-Guided Diffusion Model for EEG-Based Visual Cognition Reconstruction
by: Lian, Yongxiang, et al.
Published: (2026)

TDSNNs: Competitive Topographic Deep Spiking Neural Networks for Visual Cortex Modeling
by: Zhou, Deming, et al.
Published: (2025)

TinySeg: Model Optimizing Framework for Image Segmentation on Tiny Embedded Systems
by: Chae, Byungchul, et al.
Published: (2024)

A Multimodal Physics-Informed Neural Network Approach for Mean Radiant Temperature Modeling
by: Shaeri, Pouya, et al.
Published: (2025)

Hyper-Connections
by: Zhu, Defa, et al.
Published: (2024)

BlackDAN: A Black-Box Multi-Objective Approach for Effective and Contextual Jailbreaking of Large Language Models
by: Wang, Xinyuan, et al.
Published: (2024)

Gaining the Sparse Rewards by Exploring Lottery Tickets in Spiking Neural Network
by: Cheng, Hao, et al.
Published: (2023)

Retina : Low-Power Eye Tracking with Event Camera and Spiking Hardware
by: Bonazzi, Pietro, et al.
Published: (2023)

Dynamic Event-based Optical Identification and Communication
by: von Arnim, Axel, et al.
Published: (2023)

Accurate and Efficient Event-based Semantic Segmentation Using Adaptive Spiking Encoder-Decoder Network
by: Zhang, Rui, et al.
Published: (2023)

Spiking Two-Stream Methods with Unsupervised STDP-based Learning for Action Recognition
by: El-Assal, Mireille, et al.
Published: (2023)

From Pixels to Titles: Video Game Identification by Screenshots using Convolutional Neural Networks
by: Breve, Fabricio
Published: (2023)

Parallel Spiking Neurons with High Efficiency and Ability to Learn Long-term Dependencies
by: Fang, Wei, et al.
Published: (2023)

Scaling Up Resonate-and-Fire Networks for Fast Deep Learning
by: Huber, Thomas E., et al.
Published: (2025)

An Automatic Detection Method for Hematoma Features in Placental Abruption Ultrasound Images Based on Few-Shot Learning
by: Liu, Xiaoqing, et al.
Published: (2025)

Neuro-Inspired Visual Pattern Recognition via Biological Reservoir Computing
by: Ciampi, Luca, et al.
Published: (2026)

EEvAct: Early Event-Based Action Recognition with High-Rate Two-Stream Spiking Neural Networks
by: Neumeier, Michael, et al.
Published: (2025)

Revisiting Direct Encoding: Learnable Temporal Dynamics for Static Image Spiking Neural Networks
by: He, Huaxu
Published: (2025)

Fully Spiking Neural Networks for Unified Frame-Event Object Tracking
by: Yang, Jingjun, et al.
Published: (2025)

A Hybrid Deep Learning and Forensic Approach for Robust Deepfake Detection
by: Aribe Jr, Sales
Published: (2025)

Frozen Backpropagation: Relaxing Weight Symmetry in Deep Spiking Neural Networks
by: Goupy, Gaspard, et al.
Published: (2025)

Better, But Not Sufficient: Testing Video ANNs Against Macaque IT Dynamics
by: Dunnhofer, Matteo, et al.
Published: (2026)