Search Results
Assessing Language Model Deployment with Risk Cards
However, there is no risk-centric framework for documenting the complexity of a landscape in which some risks are shared across models and contexts, while others are specific, and where certain conditions may be required for risks to manifest as harms.
On the Opportunities and Risks of Foundation Models
AI is undergoing a paradigm shift with the rise of models (e. g., BERT, DALL-E, GPT-3) that are trained on broad data at scale and are adaptable to a wide range of downstream tasks.
Deduplicating Training Data Mitigates Privacy Risks in Language Models
Past work has shown that large language models are susceptible to privacy attacks, where adversaries generate sequences from a trained model and detect which sequences are memorized from the training set.
Probabilistic Traversability Model for Risk-Aware Motion Planning in Off-Road Environments
A key challenge in off-road navigation is that even visually similar terrains or ones from the same semantic class may have substantially different traction properties.
Robotics Systems and Control Systems and Control
A hierarchical spatio-temporal model to analyze relative risk variations of COVID-19: a focus on Spain, Italy and Germany
The novel coronavirus disease (COVID-19) has spread rapidly across the world in a short period of time and with a heterogeneous pattern.
Applications
ML-Doctor: Holistic Risk Assessment of Inference Attacks Against Machine Learning Models
As a result, we lack a comprehensive picture of the risks caused by the attacks, e. g., the different scenarios they can be applied to, the common factors that influence their performance, the relationship among them, or the effectiveness of possible defenses.
Cybench: A Framework for Evaluating Cybersecurity Capabilities and Risks of Language Models
To evaluate agent capabilities, we construct a cybersecurity agent and evaluate 8 models: GPT-4o, OpenAI o1-preview, Claude 3 Opus, Claude 3. 5 Sonnet, Mixtral 8x22b Instruct, Gemini 1. 5 Pro, Llama 3 70B Chat, and Llama 3. 1 405B Instruct.
Ranked #3 on
on Cybench
Risk-mediated dynamic regulation of effective contacts de-synchronizes outbreaks in metapopulation epidemic models
In the event of an epidemic, an important research question is, to what degree spatial information (i. e., regional or national) is relevant for mitigation and (local) policymakers.
Privacy Risks of Securing Machine Learning Models against Adversarial Examples
To perform the membership inference attacks, we leverage the existing inference methods that exploit model predictions.
KoSBi: A Dataset for Mitigating Social Bias Risks Towards Safer Large Language Model Application
Large language models (LLMs) learn not only natural text generation abilities but also social biases against different demographic groups from real-world data.
