Connectionists: Call for Papers: The 2nd International Workshop on Secure, Accountable, and Verifiable Machine Learning, co-located with the 19th IEEE International Conference on Software Testing, Verification and Validation (ICST)

Carlo MAZZOCCA cmazzocca at unisa.it
Tue Feb 10 05:59:36 EST 2026


Dear Colleagues,

We invite you to submit your research to The 2nd International Workshop on
Secure, Accountable, and Verifiable Machine Learning (SAFE-ML 2026),
 co-located with the 19th IEEE International Conference on Software
Testing, Verification and Validation (ICST 2026), which will be held in
Daejeon, South Korea (Mon 18 - Fri 22 May 2026).

Machine Learning (ML) models are becoming deeply integrated into our daily
lives, with their use expected to expand even further in the coming years.
However, as these models grow in importance, potential vulnerabilities —
such as biased decision-making and privacy breaches — could result in
serious unintended consequences.

The 2nd International Workshop on Secure, Accountable, and Verifiable
Machine Learning (SAFE-ML 2026) aims to bring together experts from
industry and academia, with software testing and ML backgrounds, to discuss
and address these challenges. The focus will be on innovative methods and
tools to ensure correctness, robustness, security, fairness of ML models
and in decentralized learning schemes. Topics of the workshop will cover,
but are not limited to:


   - Privacy preservation of ML models;
   - Adversarial robustness in ML models;
   - Security of ML models against poisoning attacks;
   - Ensuring fairness and mitigating bias in ML models;
   - Unlearning algorithms in ML;
   - Security, robustness, and privacy for Large Language Models (LLMs);
   - Unlearning algorithms in decentralized learning schemes, such as
   Federated Learning (FL), gossip learning and split learning;
   - Secure aggregation in FL;
   - Robustness of FL models against malicious clients or model inversion
   attacks;
   - Secure model updates in FL;
   - Explainability and interpretability of ML algorithms;
   - ML accountability.


Important Dates
*Paper Submission*: 27 February AoE, 2026
*Decision Notification:* 27 March AoE, 2026

For further details and submission instructions, please visit the workshop
website:
https://conf.researchr.org/home/icst-2026/safe-ml-2026#Call-for-Papers

Best regards,
Carlo Mazzocca, Alessio Mora, Rebecca Montanari, Stefano Russo
SAFE-ML Chairs
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