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Data and AI Security

As organizations move to the hybrid cloud, they must protect sensitive data and comply with regulations that allow them to take advantage of AI. We’re designing systems to monitor and protect data, building trust in AI through robust evaluation, certification, and hardening against attacks.

Our work

DARPA and IBM are ensuring that anyone can protect their AI systems from hackers
News
Mike Murphy
07 Feb 2024
- AI
- Data and AI Security
An AI model trained on data that looks real but won’t leak personal information
Research
Kim Martineau
12 Dec 2023
An open-source toolkit for debugging AI models of all data types
Technical note
Kevin Eykholt and Taesung Lee
08 Sep 2023
Simplifying cloud security policies with AI
Technical note
Julian Stephen and Shriti Priya
13 Jul 2023
Protect yourself from bad neighbors in the cloud
Technical note
Michael V. Le, Salman Ahmed, Dan Williams, and Hani Jamjoom
07 Jul 2023
- Data and AI Security
- Security
AI diffusion models can be tricked into generating manipulated images
News
Kim Martineau
05 Jun 2023
See more of our work on Data and AI Security

Publications

Protecting Users From Themselves: Safeguarding Contextual Privacy in Interactions with Conversational Agents
- - Ivoline Ngong
  - Swanand Ravindra Kadhe
  - et al.
- 2025
- ACL 2025
PATHE: A Privacy-Preserving Mass Spectrometry Database Pattern Search Platform with Fully Homomorphic Encryption
- - Xuan Wang
  - Minxuan Zhou
  - et al.
- 2025
- DAC 2025
A Near-DRAM Accelerator for Compiler-Generated Fully Homomorphic Encryption Applications
- - Alper Buyuktosunoglu
- 2025
- ISCA 2025
Challenges and Remedies of Domain-Specific Classifiers as LLM Guardrails: Self-Harm as a Case Study
- - Bing Zhang
  - Guang-Jie Ren
- 2025
- NAACL 2025
SafeMERGE: Preserving Safety Alignment in Fine-Tuned Large Language Models via Selective Layer-Wise Model Merging
- - Aladin Djuhera
  - Swanand Ravindra Kadhe
  - et al.
- 2025
- ICLR 2025
Rhychee-FL: Robust and Efficient Hyperdimensional Federated Learning with Homomorphic Encryption
- - Yujin Nam
  - Abhishek Moitra
  - et al.
- 2025
- DATE 2025

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IBM Solution: IBM Cloud Pak for Data

Our research is regularly incorporated into new security features for IBM Cloud Pak for Data.

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