--- title: "AutoDefense vs IB4LLMs" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/xhmy-autodefense-vs-zichuan-liu-ib4llms" tools: ["xhmy-autodefense", "zichuan-liu-ib4llms"] --- # AutoDefense vs IB4LLMs *GraphCanon updated Jul 12, 2026* ## Verdict Pick AutoDefense when tags unique to AutoDefense: python; pick IB4LLMs when tags unique to IB4LLMs: adversarial prompts defense, information bottleneck, jailbreak defense, llms protection. [AutoDefense](https://arxiv.org/abs/2403.04783) reports 68 GitHub stars, 20 forks, and 1 open issues, last pushed Jan 15, 2026. [IB4LLMs](https://zichuan-liu.github.io/projects/IBProtector/index.html) has 25 stars, 2 forks, and 4 open issues, last pushed Nov 7, 2024. Figures are from public GitHub metadata via [AutoDefense's repository](https://github.com/XHMY/AutoDefense) and [IB4LLMs's repository](https://github.com/zichuan-liu/IB4LLMs). | | [AutoDefense](/tools/xhmy-autodefense.md) | [IB4LLMs](/tools/zichuan-liu-ib4llms.md) | | --- | --- | --- | | Tagline | AutoDefense: Multi-Agent LLM Defense against Jailbreak Attacks | Protecting Your LLMs with Information Bottleneck | | Stars | 68 | 25 | | Forks | 20 | 2 | | Open issues | 1 | 4 | | Language | Python | Python | | Adopt for | - | - | | Persona | - | - | | Runtime | - | - | | License | MIT | - | | Categories | AI Agents, Inference & Serving, LLM Frameworks | Evaluation & Observability, LLM Frameworks | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [AutoDefense](/tools/xhmy-autodefense.md) | [IB4LLMs](/tools/zichuan-liu-ib4llms.md) | | --- | --- | --- | | Maintenance | Slowing (36%) | Dormant (18%) | | Days since push | 177d | 611d | | Open issues (now) | 1 | 4 | | Security scan | No lockfile | 77 low (77 low) | | Full report | [trust report](/tools/xhmy-autodefense/trust.md) | [trust report](/tools/zichuan-liu-ib4llms/trust.md) | ## Shared compatibility - **Python**: [AutoDefense](/tools/xhmy-autodefense.md) - Python runtime; [IB4LLMs](/tools/zichuan-liu-ib4llms.md) - Python runtime ## Choose when ### Choose AutoDefense if… - Tags unique to AutoDefense: python. - Also covers AI Agents, Inference & Serving. - More GitHub stars (68 vs 25) - visibility, not fit. ### Choose IB4LLMs if… - Tags unique to IB4LLMs: adversarial prompts defense, information bottleneck, jailbreak defense, llms protection. - Also covers Evaluation & Observability. ## When NOT to use AutoDefense - Last GitHub push was 177 days ago (slowing maintenance, Jan 15, 2026). Validate activity before betting a new project on AutoDefense. - AI Agents: Don't use an agent loop when a deterministic workflow would do; agents add latency, cost, and non-determinism. - Inference & Serving: Self-hosting rarely beats a hosted API on cost until you have steady, high-volume traffic. - LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves. ## When NOT to use IB4LLMs - Last GitHub push was 612 days ago (dormant maintenance, Nov 7, 2024). Validate activity before betting a new project on IB4LLMs. - Evaluation & Observability: Defer heavyweight eval infra only until you have real traffic - never skip it once users depend on answers. - LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves. ## Common questions ### What is the difference between AutoDefense and IB4LLMs? AutoDefense: AutoDefense: Multi-Agent LLM Defense against Jailbreak Attacks. IB4LLMs: Protecting Your LLMs with Information Bottleneck. See the comparison table for live GitHub stats and shared categories. ### When should I choose AutoDefense over IB4LLMs? Choose AutoDefense over IB4LLMs when Tags unique to AutoDefense: python; Also covers AI Agents, Inference & Serving; More GitHub stars (68 vs 25) - visibility, not fit. ### When should I choose IB4LLMs over AutoDefense? Choose IB4LLMs over AutoDefense when Tags unique to IB4LLMs: adversarial prompts defense, information bottleneck, jailbreak defense, llms protection; Also covers Evaluation & Observability. ### When should I avoid AutoDefense? Last GitHub push was 177 days ago (slowing maintenance, Jan 15, 2026). Validate activity before betting a new project on AutoDefense. AI Agents: Don't use an agent loop when a deterministic workflow would do; agents add latency, cost, and non-determinism. Inference & Serving: Self-hosting rarely beats a hosted API on cost until you have steady, high-volume traffic. LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves. ### When should I avoid IB4LLMs? Last GitHub push was 612 days ago (dormant maintenance, Nov 7, 2024). Validate activity before betting a new project on IB4LLMs. Evaluation & Observability: Defer heavyweight eval infra only until you have real traffic - never skip it once users depend on answers. LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves. ### Is AutoDefense or IB4LLMs more popular on GitHub? AutoDefense has more GitHub stars (68 vs 25). Stars measure visibility, not whether either tool fits your constraints. ### Are AutoDefense and IB4LLMs open source? Yes - both are open-source projects on GitHub. ### Where can I find alternatives to AutoDefense or IB4LLMs? GraphCanon lists graph-backed alternatives at [AutoDefense alternatives](/tools/xhmy-autodefense/alternatives) and [IB4LLMs alternatives](/tools/zichuan-liu-ib4llms/alternatives) ([AutoDefense markdown twin](/tools/xhmy-autodefense/alternatives.md), [IB4LLMs markdown twin](/tools/zichuan-liu-ib4llms/alternatives.md)), ranked by typed relationship edges rather than popularity votes. ### Is there a machine-readable version of this comparison? Yes. The markdown twin at [this comparison](/compare/xhmy-autodefense-vs-zichuan-liu-ib4llms.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, AutoDefense or IB4LLMs? AutoDefense: Slowing. IB4LLMs: Dormant. Compare maintenance labels, days since push, and release cadence in the trust section below - stars alone do not measure maintenance. ### Where are the full trust reports for AutoDefense and IB4LLMs? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [AutoDefense trust report](/tools/xhmy-autodefense/trust); [IB4LLMs trust report](/tools/zichuan-liu-ib4llms/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=xhmy-autodefense`](/api/graphcanon/graph?tool=xhmy-autodefense) - LLM index: [/llms.txt](/llms.txt) - Full corpus: [/llms-full.txt](/llms-full.txt) _GraphCanon - The knowledge graph for AI development. https://www.graphcanon.com/_