Privacy in large language models: Attacks, defenses and future directions
The advancement of large language models (LLMs) has significantly enhanced the ability to
effectively tackle various downstream NLP tasks and unify these tasks into generative …
effectively tackle various downstream NLP tasks and unify these tasks into generative …
Pitfalls in language models for code intelligence: A taxonomy and survey
Modern language models (LMs) have been successfully employed in source code
generation and understanding, leading to a significant increase in research focused on …
generation and understanding, leading to a significant increase in research focused on …
Federated large language model: A position paper
Large scale language models (LLM) have received significant attention and found diverse
applications across various domains, but their development encounters challenges in real …
applications across various domains, but their development encounters challenges in real …
Security of Language Models for Code: A Systematic Literature Review
Language models for code (CodeLMs) have emerged as powerful tools for code-related
tasks, outperforming traditional methods and standard machine learning approaches …
tasks, outperforming traditional methods and standard machine learning approaches …
Django: Detecting trojans in object detection models via gaussian focus calibration
Object detection models are vulnerable to backdoor or trojan attacks, where an attacker can
inject malicious triggers into the model, leading to altered behavior during inference. As a …
inject malicious triggers into the model, leading to altered behavior during inference. As a …
A survey on large language models for software engineering
Software Engineering (SE) is the systematic design, development, and maintenance of
software applications, underpinning the digital infrastructure of our modern mainworld. Very …
software applications, underpinning the digital infrastructure of our modern mainworld. Very …
Robustness, security, privacy, explainability, efficiency, and usability of large language models for code
Large language models for code (LLM4Code), which demonstrate strong performance (eg,
high accuracy) in processing source code, have significantly transformed software …
high accuracy) in processing source code, have significantly transformed software …
Vulnerabilities in ai code generators: Exploring targeted data poisoning attacks
D Cotroneo, C Improta, P Liguori… - Proceedings of the 32nd …, 2024 - dl.acm.org
AI-based code generators have become pivotal in assisting developers in writing software
starting from natural language (NL). However, they are trained on large amounts of data …
starting from natural language (NL). However, they are trained on large amounts of data …
Ecosystem of large language models for code
The availability of vast amounts of publicly accessible data of source code and the advances
in modern language models, coupled with increasing computational resources, have led to …
in modern language models, coupled with increasing computational resources, have led to …
Occlusion-based Detection of Trojan-triggering Inputs in Large Language Models of Code
A Hussain, MRI Rabin, T Ahmed, MA Alipour… - arxiv preprint arxiv …, 2023 - arxiv.org
Large language models (LLMs) are becoming an integrated part of software development.
These models are trained on large datasets for code, where it is hard to verify each data …
These models are trained on large datasets for code, where it is hard to verify each data …