Research Insights

From award-winning academic research to production-grade AI safety.

Recognized by

Outstanding Paper | NeurIPS

DecodingTrust: A Comprehensive Assessment of Trustworthiness in GPT Models

Best Paper | NeurIPS

When Do Universal Image Jailbreaks Transfer Between Vision-Language Models?

Best Research Paper Finalist | PVLDB

LLM-PBE: Assessing Data Privacy in Large Language Models

Research Papers

ICML

Decoding Compressed Trust: Scrutinizing the Trustworthiness of Efficient LLMs Under Compression.

ICML

Effects of Exponential Gaussian Distribution on (Double Sampling) Randomized Smoothing.

arXiv

HarmBench: A Standardized Evaluation Framework for Automated Red Teaming and Robust Refusal.

ICML

Differentially Private Synthetic Data via Foundation Model APIs 2

ICML

HALC: Object Hallucination Reduction via Adaptive Focal-Contrast Decoding

ICML

SHINE: Shielding Backdoors in Deep Reinforcement Learning

ICML

Fair Federated Learning via the Proportional Veto Core

ICML

InstructRetro: Instruction Tuning post Retrieval-Augmented Pretraining

CVPR

ChatScene: Knowledge-Enabled Safety-Critical Scenario Generation for Autonomous Vehicles.

CVPR

PerAda: Parameter-Efficient Federated Learning Personalization with Generalization Guarantees

Blogs

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Announcement

We’re Not Just Hosting a Conference, We’re Closing the Gap Between AI Research and AI Risk

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Announcement

Virtue Presents: CTRL+AI A Conference on Trust, Risk, Leadership and AI

CTRL+AI is an exclusive one-day conference bringing together the best and brightest minds from leading enterprises and AI labs: the researchers, executives, and operators who are building the reality of secure, scalable AI.

Business

VirtueGuard-Code Ranks #1 in AI Code Vulnerability Detection

AI is transforming how software gets built. From code generation to automated reviews, enterprises are rapidly integrating AI into their development workflows. But there’s a critical gap emerging.

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