most citedA Backdoor Approach with Inverted Labels Using Dirty Label-Flipping Attacks

7 citations · 8 across the 6 of their papers we have counts for

collaborators

6 papers

cs.LG2024

Trading Devil RL: Backdoor attack via Stock market, Bayesian Optimization and Reinforcement Learning

Orson Mengara

With the rapid development of generative artificial intelligence, particularly large language models a number of sub-fields of deep learning have made significant progress and are…

cs.LG2024

Trading Devil Final: Backdoor attack via Stock market and Bayesian Optimization

Orson Mengara

Since the advent of generative artificial intelligence, every company and researcher has been rushing to develop their own generative models, whether commercial or not. Given the l…

cs.CR2024

Trading Devil: Robust backdoor attack via Stochastic investment models and Bayesian approach

Orson Mengara

With the growing use of voice-activated systems and speech recognition technologies, the danger of backdoor attacks on audio data has grown significantly. This research looks at a…

cs.CR2024★ 7 cited

A Backdoor Approach with Inverted Labels Using Dirty Label-Flipping Attacks

Orson Mengara

Audio-based machine learning systems frequently use public or third-party data, which might be inaccurate. This exposes deep neural network (DNN) models trained on such data to pot…

cs.LG2024

The last Dance : Robust backdoor attack via diffusion models and bayesian approach

Orson Mengara

Diffusion models are state-of-the-art deep learning generative models that are trained on the principle of learning forward and backward diffusion processes via the progressive add…

cs.CR2024★ 1 cited

The Art of Deception: Robust Backdoor Attack using Dynamic Stacking of Triggers

Orson Mengara

The area of Machine Learning as a Service (MLaaS) is experiencing increased implementation due to recent advancements in the AI (Artificial Intelligence) industry. However, this sp…