Comparison
Confidence_Elicitation_Attacks vs chatgpt-plugin-eval
Verdict
Pick Confidence_Elicitation_Attacks if explores new attack vectors on large language models by eliciting confidence; pick chatgpt-plugin-eval if chatgpt-plugin-eval is an evaluation framework designed specifically to assess security, privacy, and safety concerns related to third-party plugins interfacing with large language models like ChatGPT.
Markdown twin · Confidence_Elicitation_Attacks alternatives · chatgpt-plugin-eval alternatives
GraphCanon updated 2w
vs
Trust & integrity
| Signal | Confidence_Elicitation_Attacks | chatgpt-plugin-eval |
|---|---|---|
| Maintenance | Dormant (518d since push) As of 2w · github_public_v1 | Dormant (736d since push) As of 2w · github_public_v1 |
| Provenance | Not a fork · Personal account As of 2w · github_public_v1 | Not a fork · Organization account As of 2w · github_public_v1 |
| OSV dependency advisories | Published findings As of 1mo · osv@v1 | No lockfile (source not queried) As of 1mo · osv@v1 |
| deps.dev advisories | Not queried deps.dev@v1 | Not queried deps.dev@v1 |
| OpenSSF Scorecard | Not queried openssf-scorecard@v1 | Not queried openssf-scorecard@v1 |
Tagline
- Confidence_Elicitation_Attacks
- Confidence Elicitation Attacks on Large Language Models
- chatgpt-plugin-eval
- Framework for Evaluating Security in LLM Plugin Ecosystems
Stars
- Confidence_Elicitation_Attacks
- 6
- chatgpt-plugin-eval
- 29
Forks
- Confidence_Elicitation_Attacks
- 0
- chatgpt-plugin-eval
- 7
Open issues
- Confidence_Elicitation_Attacks
- 1
- chatgpt-plugin-eval
- 1
Language
- Confidence_Elicitation_Attacks
- Python
- chatgpt-plugin-eval
- HTML
Adopt for
- Confidence_Elicitation_Attacks
- Explores new attack vectors on large language models by eliciting confidence.
- chatgpt-plugin-eval
- chatgpt-plugin-eval is an evaluation framework designed specifically to assess security, privacy, and safety concerns related to third-party plugins interfacing with large language models like ChatGPT.
Persona
- Confidence_Elicitation_Attacks
- -
- chatgpt-plugin-eval
- -
Runtime
- Confidence_Elicitation_Attacks
- -
- chatgpt-plugin-eval
- -
License
- Confidence_Elicitation_Attacks
- (unknown)
- chatgpt-plugin-eval
- The license information for chatgpt-plugin-eval is unknown.
Last pushed
- Confidence_Elicitation_Attacks
- Mar 4, 2025
- chatgpt-plugin-eval
- Jul 29, 2024
Categories
- Confidence_Elicitation_Attacks
- Evaluation & Observability
- chatgpt-plugin-eval
- Evaluation & Observability
Trust and health
Days since push
- Confidence_Elicitation_Attacks
- 518d
- chatgpt-plugin-eval
- 736d
Owner type
- Confidence_Elicitation_Attacks
- User
- chatgpt-plugin-eval
- Organization
OSV dependency advisories
- Confidence_Elicitation_Attacks
- Published findings
- chatgpt-plugin-eval
- No lockfile (source not queried)
Full report
- Confidence_Elicitation_Attacks
- Trust report
- chatgpt-plugin-eval
- Trust report
Choose Confidence_Elicitation_Attacks if…
- Confidence_Elicitation_Attacks is primarily Python; chatgpt-plugin-eval is HTML.
- Research paper outlines attack methods for large language models via confidence elicitation.
- Tags unique to Confidence_Elicitation_Attacks: attack vectors, confidence analysis, llm security, model evaluation.
- When studying adversarial attacks specifically targeting large language models
When NOT to use Confidence_Elicitation_Attacks
- For general debugging of machine learning models outside of adversarial contexts
- In scenarios focused on improving the performance rather than exposing security flaws
Choose chatgpt-plugin-eval if…
- chatgpt-plugin-eval is primarily HTML; Confidence_Elicitation_Attacks is Python.
- Tags unique to chatgpt-plugin-eval: chatgpt, llm-plugins, privacy, security.
- - When evaluating the security risks of integrating third-party services into your LLM platform through plugins
When NOT to use chatgpt-plugin-eval
- - In cases where only generic, high-level security guidance is required without an in-depth framework analysis
- - When the primary focus is on improving performance metrics rather than addressing specific security and privacy concerns of LLM plugins
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (Aniloid2/Confidence_Elicitation_Attacks) · observed Aug 5, 2026
- GitHub forks (Aniloid2/Confidence_Elicitation_Attacks) · observed Aug 5, 2026
- Last push (Aniloid2/Confidence_Elicitation_Attacks) · observed Mar 4, 2025
- License file (unknown) · observed Aug 5, 2026
- Decision facts (enrichment) · observed Jul 17, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- GitHub stars (llm-platform-security/chatgpt-plugin-eval) · observed Aug 5, 2026
- GitHub forks (llm-platform-security/chatgpt-plugin-eval) · observed Aug 5, 2026
- Last push (llm-platform-security/chatgpt-plugin-eval) · observed Jul 29, 2024
- License file (unknown) · observed Aug 5, 2026
- Decision facts (enrichment) · observed Jul 17, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: Confidence_Elicitation_Attacks 6 · chatgpt-plugin-eval 29 (synced Aug 5, 2026).
Common questions
- What is the difference between Confidence_Elicitation_Attacks and chatgpt-plugin-eval?
- Confidence_Elicitation_Attacks: Confidence Elicitation Attacks on Large Language Models. chatgpt-plugin-eval: Framework for Evaluating Security in LLM Plugin Ecosystems. See the comparison table for live GitHub stats and shared categories.
- When should I choose Confidence_Elicitation_Attacks over chatgpt-plugin-eval?
- Choose Confidence_Elicitation_Attacks over chatgpt-plugin-eval when Confidence_Elicitation_Attacks is primarily Python; chatgpt-plugin-eval is HTML; Research paper outlines attack methods for large language models via confidence elicitation; Tags unique to Confidence_Elicitation_Attacks: attack vectors, confidence analysis, llm security, model evaluation; When studying adversarial attacks specifically targeting large language models.
- When should I choose chatgpt-plugin-eval over Confidence_Elicitation_Attacks?
- Choose chatgpt-plugin-eval over Confidence_Elicitation_Attacks when chatgpt-plugin-eval is primarily HTML; Confidence_Elicitation_Attacks is Python; Tags unique to chatgpt-plugin-eval: chatgpt, llm-plugins, privacy, security; - When evaluating the security risks of integrating third-party services into your LLM platform through plugins.
- When should I avoid Confidence_Elicitation_Attacks?
- For general debugging of machine learning models outside of adversarial contexts In scenarios focused on improving the performance rather than exposing security flaws
- When should I avoid chatgpt-plugin-eval?
- - In cases where only generic, high-level security guidance is required without an in-depth framework analysis - When the primary focus is on improving performance metrics rather than addressing specific security and privacy concerns of LLM plugins
- Is Confidence_Elicitation_Attacks or chatgpt-plugin-eval more popular on GitHub?
- chatgpt-plugin-eval has more GitHub stars (29 vs 6). Stars measure visibility, not whether either tool fits your constraints.
- Are Confidence_Elicitation_Attacks and chatgpt-plugin-eval open source?
- Yes - both are open-source projects on GitHub.
- Where can I find alternatives to Confidence_Elicitation_Attacks or chatgpt-plugin-eval?
- GraphCanon lists graph-backed alternatives at Confidence_Elicitation_Attacks alternatives and chatgpt-plugin-eval alternatives (Confidence_Elicitation_Attacks markdown twin, chatgpt-plugin-eval markdown twin), 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 mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers.
- Which is better maintained, Confidence_Elicitation_Attacks or chatgpt-plugin-eval?
- Confidence_Elicitation_Attacks: Dormant. chatgpt-plugin-eval: 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 Confidence_Elicitation_Attacks and chatgpt-plugin-eval?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: Confidence_Elicitation_Attacks trust report; chatgpt-plugin-eval trust report.