Call for Papers

Overview

Generative AI (GenAI) is quickly advancing and fast becoming a widely deployed technology. GenAI-based systems rely on machine-learning (ML) models trained on large amounts of data using deep-learning techniques. As the power and flexibility of the models advance, the architectural complexity of GenAI-based systems is advancing too. Current architectures may combine multiple models, using sequences of model queries to complete a task, with external (non-ML) components leveraged to enhance the model’s operation via database queries or API calls. These architectures may be vulnerable to a variety of attacks that use adversarial inputs to create malicious outputs.

This workshop invites new contributions to the broader understanding of security for GenAI systems and applications. Contributions may address security threats and defenses for individual models, or for systems and architectures that may employ one or more generative ML models as subcomponents. The workshop welcomes discussion of new GenAI security concerns, as well as new approaches to architecting GenAI-based systems for safety, security, and privacy.

Topics of Interest

SAGAI welcomes contributions on all aspects of safety, security, and privacy of GenAI-based systems, including text, image, audio, video, code, and other modalities. Topics of interest include, but are not limited to:

Mechanisms for Safety, Security, and Privacy of GenAI

• Input sanitization, normalization, and deobfuscation

• Protections against prompt injection

• Output validation and sanitization

• Secure and private tool use

• Secure and private retrieval-augmented generation

• Secure and private multi-model/multi-agent systems

• Mechanisms for whitebox vs blackbox models

• Security and performance of on-device model training and inference

• Reliable watermarking techniques

• Attacks against GenAI safety, security, and privacy mechanisms

Security Architectures for GenAI

• In-model vs. out-of-model security approaches

• Secure sequential and parallel composition of GenAI-based systems

• Layered security for multi-agent GenAI-based systems

• Composition of provenance mechanisms (system and GenAI)

• Composition of security and privacy mechanisms (system and GenAI)

• Security uses of watermarked GenAI outputs

• Model explainability for security and privacy

Out of Scope

Because there are many other conferences and workshops on this topic, we consider techniques for pre-training or fine-tuning the model(s) used by a GenAI-based system, or to curate the data used in such training or tuning, to be out of scope for the workshop. This includes training techniques to achieve model alignment and techniques to prevent data poisoning. However, submissions that consider alignment, robustness, new forms of attack, and novel defenses of system architectures that combine individual models with other components are welcome.

Submission Guidelines

We accept full-length papers of up to 10 pages, plus additional references and appendices. To be considered, papers must be received by the submission deadline (see Important Dates).

Paper Format

Papers must be formatted for US letter (not A4) size paper. The text must be formatted in a two-column layout, with columns no more than 9.5 in. tall and 3.5 in. wide. The text must be in Times font, 10-point or larger, with 11-point or larger line spacing. Authors are strongly recommended to use the latest IEEE "compsoc" conference proceedings templates.

• LaTeX submissions must use IEEEtran.cls version 1.8b with options “conference,compsoc”:
  \documentclass[conference,compsoc]{IEEEtran}

• Overleaf submissions must use the IEEE Demo Template for Computer Society Conferences.

• For other page-layout software, please follow IEEE Computer Society's author guidelines.

Failure to adhere to the page limit and formatting requirements are grounds for rejection without review. Submissions must be in English and properly anonymized.

IEEE S&P’s criteria for anonymous submissions, conflicts of interest, ethical considerations, and competing interests (all available at https://sp2024.ieee-security.org/cfpapers.html) apply.

Presentation Form

All accepted submissions will be presented at the workshop. All papers will be included in the IEEE workshop proceedings. One author of each accepted paper is required to attend the workshop and present the paper for it to be included in the proceedings.

Submission Site

Submissions must be in Portable Document Format (.pdf).

Submission server: https://hotcrp-sagai24.ieee-security.org