Adversarial Attack Analysis

DUMB and DUMBer: Is Adversarial Training Worth It in the Real World?

Authors: Francesco Marchiori, Marco Alecci, Luca Pajola, Mauro Conti | Published: 2025-06-23
Model Architecture
Certified Robustness
Adversarial Attack Analysis

Exploring Backdoor Attack and Defense for LLM-empowered Recommendations

Authors: Liangbo Ning, Wenqi Fan, Qing Li | Published: 2025-04-15
LLM Performance Evaluation
Poisoning attack on RAG
Adversarial Attack Analysis

Bypassing Prompt Injection and Jailbreak Detection in LLM Guardrails

Authors: William Hackett, Lewis Birch, Stefan Trawicki, Neeraj Suri, Peter Garraghan | Published: 2025-04-15 | Updated: 2025-04-16
LLM Performance Evaluation
Prompt Injection
Adversarial Attack Analysis

Adversarial Attacks Against Medical Deep Learning Systems

Authors: Samuel G. Finlayson, Hyung Won Chung, Isaac S. Kohane, Andrew L. Beam | Published: 2018-04-15 | Updated: 2019-02-04
Adversarial Learning
Adversarial Attack Analysis
Deep Learning

A Grid Based Adversarial Clustering Algorithm

Authors: Wutao Wei, Nikhil Gupta, Bowei Xi | Published: 2018-04-13 | Updated: 2024-11-21
Data Contamination Detection
Adversarial Attack Analysis
Anomaly Detection Method

Label Sanitization against Label Flipping Poisoning Attacks

Authors: Andrea Paudice, Luis Muñoz-González, Emil C. Lupu | Published: 2018-03-02 | Updated: 2018-10-02
Adversarial Attack Analysis
Machine Learning Technology
Detection of Poisonous Data

Generalized Byzantine-tolerant SGD

Authors: Cong Xie, Oluwasanmi Koyejo, Indranil Gupta | Published: 2018-02-27 | Updated: 2018-03-23
Robust Estimation
Adversarial Attack Analysis
Machine Learning Technology

Understanding and Enhancing the Transferability of Adversarial Examples

Authors: Lei Wu, Zhanxing Zhu, Cheng Tai, Weinan E | Published: 2018-02-27
Model evaluation methods
Adversarial Learning
Adversarial Attack Analysis

Robust GANs against Dishonest Adversaries

Authors: Zhi Xu, Chengtao Li, Stefanie Jegelka | Published: 2018-02-27 | Updated: 2019-10-10
Robust Estimation
Adversarial Attack Analysis
Adversarial Training

On the Suitability of $L_p$-norms for Creating and Preventing Adversarial Examples

Authors: Mahmood Sharif, Lujo Bauer, Michael K. Reiter | Published: 2018-02-27 | Updated: 2018-07-27
Adversarial Example Detection
Adversarial Attack Analysis
Machine Learning Technology