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Chatgpt needs spade (sustainability, privacy, digital divide, and ethics) evaluation: A review
ChatGPT is another large language model (LLM) vastly available for the consumers on their
devices but due to its performance and ability to converse effectively, it has gained a huge …
devices but due to its performance and ability to converse effectively, it has gained a huge …
[HTML][HTML] When llms meet cybersecurity: A systematic literature review
The rapid development of large language models (LLMs) has opened new avenues across
various fields, including cybersecurity, which faces an evolving threat landscape and …
various fields, including cybersecurity, which faces an evolving threat landscape and …
The llama 3 herd of models
Modern artificial intelligence (AI) systems are powered by foundation models. This paper
presents a new set of foundation models, called Llama 3. It is a herd of language models …
presents a new set of foundation models, called Llama 3. It is a herd of language models …
Harmbench: A standardized evaluation framework for automated red teaming and robust refusal
Automated red teaming holds substantial promise for uncovering and mitigating the risks
associated with the malicious use of large language models (LLMs), yet the field lacks a …
associated with the malicious use of large language models (LLMs), yet the field lacks a …
On prompt-driven safeguarding for large language models
Prepending model inputs with safety prompts is a common practice for safeguarding large
language models (LLMs) against queries with harmful intents. However, the underlying …
language models (LLMs) against queries with harmful intents. However, the underlying …
Amplegcg: Learning a universal and transferable generative model of adversarial suffixes for jailbreaking both open and closed llms
As large language models (LLMs) become increasingly prevalent and integrated into
autonomous systems, ensuring their safety is imperative. Despite significant strides toward …
autonomous systems, ensuring their safety is imperative. Despite significant strides toward …
R-judge: Benchmarking safety risk awareness for llm agents
Large language models (LLMs) have exhibited great potential in autonomously completing
tasks across real-world applications. Despite this, these LLM agents introduce unexpected …
tasks across real-world applications. Despite this, these LLM agents introduce unexpected …
Llm-based edge intelligence: A comprehensive survey on architectures, applications, security and trustworthiness
The integration of Large Language Models (LLMs) and Edge Intelligence (EI) introduces a
groundbreaking paradigm for intelligent edge devices. With their capacity for human-like …
groundbreaking paradigm for intelligent edge devices. With their capacity for human-like …
Grounding and evaluation for large language models: Practical challenges and lessons learned (survey)
With the ongoing rapid adoption of Artificial Intelligence (AI)-based systems in high-stakes
domains, ensuring the trustworthiness, safety, and observability of these systems has …
domains, ensuring the trustworthiness, safety, and observability of these systems has …
Evaluating frontier models for dangerous capabilities
To understand the risks posed by a new AI system, we must understand what it can and
cannot do. Building on prior work, we introduce a programme of new" dangerous capability" …
cannot do. Building on prior work, we introduce a programme of new" dangerous capability" …