SPGAI 2026 Workshop, co-hosted with DAC, confronts this dual frontier: hardening AI agents and the artifacts they generate against new and largely unmapped attack surfaces, while harnessing those same agents as a force multiplier for vulnerability discovery, secure-by-construction generation, automated compliance, and trustworthy verification. The program is organized around three intertwined themes and welcomes contributions across EDA, chip and SoC security, quantum and neuromorphic computing, electro-optic co-design, and embedded and cyber-physical systems.

Submission Guidelines

The workshop invites regular papers of 2 to 6 pages in the IEEE Conference format (IEEE templates), with page limits excluding references. Submissions are not anonymized: author names, affiliations, and acknowledgments should be included in the paper. We encourage submissions with a commitment to open and reproducible research, including datasets, models, and methods. Papers with open-source implementations will be highlighted at the workshop. Submissions will be handled via EasyChair; the submission link will be posted on the workshop website.

List of Topics

• Secure, Private, and Trustworthy AI and Agents
  • Privacy-preserving training and fine-tuning of foundation models for design (federated, differentially private, and confidential computing approaches)
  • Defenses against prompt injection, jailbreaks, and tool misuse in agentic design workflows
  • Secure multi-agent orchestration, sandboxing, and least-privilege tool use for design automation
  • Trust, alignment, and reliability of LLMs and agents in safety- and security-critical design loops
  • Confidentiality of proprietary IP, netlists, and source code during LLM-aided generation
  • Inference-time defenses, guardrails, and verifiable reasoning for design agents
  • Robustness against data poisoning, model extraction, and supply-chain attacks on generative design pipelines
• Securing the Artifacts of AI and Agents
  • Detection, attribution, and watermarking of LLM- and agent-generated RTL, HLS, layouts, and software
  • Hardware Trojans, backdoors, and malicious patterns introduced (intentionally or unintentionally) by generative AI
  • Verification, formal methods, and testing tailored to AI-generated designs
  • Provenance, traceability, and reproducibility of AI-generated design artifacts
  • Copyright, licensing, and IP-leakage analysis of generated code and designs
  • Secure release and open-sourcing practices for AI-generated artifacts and benchmarks
  • Privacy leakage and memorization analysis in LLM-generated designs
• Generative and Agentic AI for Security, Privacy, and Trustworthiness
  • LLM- and agent-driven vulnerability discovery, fuzzing, and exploit generation for hardware and software
  • Generative AI for secure-by-construction RTL, HLS, EDA scripting, and physical design
  • Agentic workflows for security verification, side-channel analysis, and threat modeling
  • LLMs for cryptographic protocol design, post-quantum migration, and confidential computing
  • AI-aided regulatory compliance, audit, and policy enforcement for design and IT automation
  • Generative and agentic AI for privacy-enhancing technologies (PETs)
  • LLM-aided security of emerging technologies: quantum, neuromorphic, and electro-optic systems
  • Datasets, benchmarks, and competitions for evaluating secure and private generative/agentic design

Committees

Organizing Committee

• Qian Lou
• Mengxin Zheng
• Hongyi " Michael" Wu

Publication

Authors of accepted papers will have the opportunity to have oral presentation or a poster at the workshop. Selected authors may also be invited to co-author a Systematization of Knowledge (SoK) paper on the topic together with the workshop organizers.

Venue

The conference will be held on Sunday, Jul 26, 2026, Co-Located with DAC 2026, in Long Beach, CA.

Contact

All questions about submissions should be emailed to Qian Lou (qian.lou@ucf.edu).