Cover Image

Generating Potent Poisons and Backdoors from Scratch with Guided Diffusion

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Souri, Hossein, Bansal, Arpit, Kazemi, Hamid, Fowl, Liam, Saha, Aniruddha, Geiping, Jonas, Wilson, Andrew Gordon, Chellappa, Rama, Goldstein, Tom, Goldblum, Micah
Format:	Preprint
Published:	2024
Subjects:	Machine Learning Cryptography and Security Computer Vision and Pattern Recognition
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Spotting LLMs With Binoculars: Zero-Shot Detection of Machine-Generated Text
by: Hans, Abhimanyu, et al.
Published: (2024)

Privacy Backdoors: Enhancing Membership Inference through Poisoning Pre-trained Models
by: Wen, Yuxin, et al.
Published: (2024)

On the Reliability of Watermarks for Large Language Models
by: Kirchenbauer, John, et al.
Published: (2023)

What do we learn from inverting CLIP models?
by: Kazemi, Hamid, et al.
Published: (2024)

Measuring Style Similarity in Diffusion Models
by: Somepalli, Gowthami, et al.
Published: (2024)

Just How Flexible are Neural Networks in Practice?
by: Shwartz-Ziv, Ravid, et al.
Published: (2024)

vTune: Verifiable Fine-Tuning for LLMs Through Backdooring
by: Zhang, Eva, et al.
Published: (2024)

The Lie Derivative for Measuring Learned Equivariance
by: Gruver, Nate, et al.
Published: (2022)

The No Free Lunch Theorem, Kolmogorov Complexity, and the Role of Inductive Biases in Machine Learning
by: Goldblum, Micah, et al.
Published: (2023)

Commercial LLM Agents Are Already Vulnerable to Simple Yet Dangerous Attacks
by: Li, Ang, et al.
Published: (2025)

Teaching Pretrained Language Models to Think Deeper with Retrofitted Recurrence
by: McLeish, Sean, et al.
Published: (2025)

Transformers Boost the Performance of Decision Trees on Tabular Data across Sample Sizes
by: Jayawardhana, Mayuka, et al.
Published: (2025)

DiffInf: Influence-Guided Diffusion for Supervision Alignment in Facial Attribute Learning
by: Pal, Basudha, et al.
Published: (2026)

Multi-Token Prediction via Self-Distillation
by: Kirchenbauer, John, et al.
Published: (2026)

3D Gaussian Splatting with Normal Information for Mesh Extraction and Improved Rendering
by: Krishnan, Meenakshi, et al.
Published: (2025)

Small Batch Size Training for Language Models: When Vanilla SGD Works, and Why Gradient Accumulation Is Wasteful
by: Marek, Martin, et al.
Published: (2025)

Compute Better Spent: Replacing Dense Layers with Structured Matrices
by: Qiu, Shikai, et al.
Published: (2024)

FineGRAIN: Evaluating Failure Modes of Text-to-Image Models with Vision Language Model Judges
by: Hayes, Kevin David, et al.
Published: (2025)

Be like a Goldfish, Don't Memorize! Mitigating Memorization in Generative LLMs
by: Hans, Abhimanyu, et al.
Published: (2024)

Unlocking Tokens as Data Points for Generalization Bounds on Larger Language Models
by: Lotfi, Sanae, et al.
Published: (2024)

Transformers Can Do Arithmetic with the Right Embeddings
by: McLeish, Sean, et al.
Published: (2024)

Identifying and Evaluating Inactive Heads in Pretrained LLMs
by: Sandoval-Segura, Pedro, et al.
Published: (2025)

To See the Unseen: on the Generalization Ability of Transformers in Symbolic Reasoning
by: Lazić, Nevena, et al.
Published: (2026)

A Watermark for Large Language Models
by: Kirchenbauer, John, et al.
Published: (2023)

Coercing LLMs to do and reveal (almost) anything
by: Geiping, Jonas, et al.
Published: (2024)

Template-based Multi-Domain Face Recognition
by: Nanduri, Anirudh, et al.
Published: (2024)

MimicGait: A Model Agnostic approach for Occluded Gait Recognition using Correlational Knowledge Distillation
by: Gupta, Ayush, et al.
Published: (2025)

ViT-Linearizer: Distilling Quadratic Knowledge into Linear-Time Vision Models
by: Wei, Guoyizhe, et al.
Published: (2025)

CLR-Face: Conditional Latent Refinement for Blind Face Restoration Using Score-Based Diffusion Models
by: Suin, Maitreya, et al.
Published: (2024)

Non-Vacuous Generalization Bounds for Large Language Models
by: Lotfi, Sanae, et al.
Published: (2023)

A Simple Baseline for Predicting Events with Auto-Regressive Tabular Transformers
by: Stein, Alex, et al.
Published: (2024)

Object Recognition as Next Token Prediction
by: Yue, Kaiyu, et al.
Published: (2023)

NESSiE: The Necessary Safety Benchmark -- Identifying Errors that should not Exist
by: Bertram, Johannes, et al.
Published: (2026)

Fine, I'll Merge It Myself: A Multi-Fidelity Framework for Automated Model Merging
by: Su, Guinan, et al.
Published: (2025)

Efficiently Dispatching Flash Attention For Partially Filled Attention Masks
by: Sharma, Agniv, et al.
Published: (2024)

Refusal Tokens: A Simple Way to Calibrate Refusals in Large Language Models
by: Jain, Neel, et al.
Published: (2024)

Gemstones: A Model Suite for Multi-Faceted Scaling Laws
by: McLeish, Sean, et al.
Published: (2025)

Dynamic Delayed Tree Expansion For Improved Multi-Path Speculative Decoding
by: Thomas, Rahul, et al.
Published: (2026)

A Quantitative Evaluation of the Expressivity of BMI, Pose and Gender in Body Embeddings for Recognition and Identification
by: Pal, Basudha, et al.
Published: (2025)

Zero-Shot Personalization of Objects via Textual Inversion
by: Roy, Aniket, et al.
Published: (2026)