QROA: A Black-Box Query-Response Optimization Attack on LLMs

Code for 'SoK: Pitfalls in Evaluating Black-Box Attacks' , SaTML 2024.

Distributed Black-Box Attacks against Image Classification.

Deep Learning Cloud Service for Black-Box Adversarial Attacks

Distributed Black-Box attacks against Image Classification.

[NeurIPS2020] The official repository of "AdvFlow: Inconspicuous Black-box Adversarial Attacks using Normalizing Flows".

Code for the ICLR 2022 paper "Attacking deep networks with surrogate-based adversarial black-box methods is easy"

📄 [Talk] OFFZONE 2022 / ODS Data Halloween 2022: Black-box attacks on ML models + with use of open-source tools

Code for paper "Boosting Query Effificiency of Meta Attack with Dynamic Fine-tuning"

[ICML 2022] Rethinking Image-Scaling Attacks: The Interplay Between Vulnerabilities in Machine Learning Systems

Derivative-free solver for the minimization of a function over the convex hull of a set of vectors

Sparse-RS: a versatile framework for query-efficient sparse black-box adversarial attacks

🗣️ Tool to generate adversarial text examples and test machine learning models against them

[NeurIPS'20] Learning Black-Box Attackers with Transferable Priors and Query Feedback

BERT based deep neural network for aspect-based sentiment analysis.

Task-agnostic universal black-box attacks on computer vision neural network via procedural noise (CCS'19)

Sparse and Imperceivable Adversarial Attacks (accepted to ICCV 2019).

Square Attack: a query-efficient black-box adversarial attack via random search [ECCV 2020]

Code for the paper "Addressing Model Vulnerability to Distributional Shifts over Image Transformation Sets", ICCV 2019

Attack models that are pretrained on ImageNet. (1) Attack single model or multiple models. (2) Apply white-box attacks or black-box attacks. (3) Apply non-targeted attacks or targeted attacks.