Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 45 inbound Pith citation observations for arXiv:2309.11751.
A citation records a reference. It does not transfer a finding from one paper to another.
Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-07T20:25:58.416124Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-05T02:28:24.338817Z
0 of 0 outbound references displayed
External citation measurements
4
pith, observed 2026-08-05T02:28:24.338817Z
No outbound reference observations are available for this paper version.
Observation 119b7a0e-e4eb-4763-b537-409dfd6025b5 · inbound
AI Safety Landscape for Large Language Models: Taxonomy, State-of-the-art, and Future Directions How Robust is Google's Bard to Adversarial Image Attacks?
Reference 183
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation 4df322f1-892d-4aaa-a42a-8f4ca8e7e191 · inbound
Adversarial Hubness in Multi-Modal Retrieval How Robust is Google's Bard to Adversarial Image Attacks?
Reference 19
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation 0cede9a2-b671-4098-82ae-3f68818a795a · inbound
On the robustness of multimodal language model towards distractions How Robust is Google's Bard to Adversarial Image Attacks?
Reference 6
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation ae7aa9af-d632-4c79-9ca2-d0ba784e5427 · inbound
A Survey of Safety on Large Vision-Language Models: Attacks, Defenses and Evaluations How Robust is Google's Bard to Adversarial Image Attacks?
Reference 100
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 2d4e5e9f-205b-4047-8889-f21988732d0b · inbound
Backdoor Cleaning without External Guidance in MLLM Fine-tuning How Robust is Google's Bard to Adversarial Image Attacks?
Reference 18
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation fab8b3b2-4a32-4dcf-b09c-6f8515aa05db · inbound
Adversarial Attacks against Closed-Source MLLMs via Feature Optimal Alignment How Robust is Google's Bard to Adversarial Image Attacks?
Reference 13
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 0c7dfc16-043a-4a3b-bac7-d25029946a27 · inbound
Disrupting Vision-Language Model-Driven Navigation Services via Adversarial Object Fusion How Robust is Google's Bard to Adversarial Image Attacks?
Reference 48
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 19b04edd-5048-486a-a247-d1d459f40f8a · inbound
Spa-VLM: Stealthy Poisoning Attacks on RAG-based VLM How Robust is Google's Bard to Adversarial Image Attacks?
Reference 36
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation d5086852-280e-487f-be1b-9cfb95f22b1e · inbound
Con Instruction: Universal Jailbreaking of Multimodal Large Language Models via Non-Textual Modalities How Robust is Google's Bard to Adversarial Image Attacks?
Reference 8
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 2dad2463-c6ab-43f4-9408-1b83043da001 · inbound
Fighting Fire with Fire (F3): A Training-free and Efficient Visual Adversarial Example Purification Method in LVLMs How Robust is Google's Bard to Adversarial Image Attacks?
Reference 13
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 37777eec-ccad-48b1-bd52-14a4fd214294 · inbound
One Object, Multiple Lies: A Benchmark for Cross-task Adversarial Attack on Unified Vision-Language Models How Robust is Google's Bard to Adversarial Image Attacks?
Reference 6
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation b9826d94-4775-43a8-a039-7694b7706696 · inbound
Adversarial-Guided Diffusion for Multimodal LLM Attacks How Robust is Google's Bard to Adversarial Image Attacks?
Reference 11
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation cea59753-6b5b-476f-9168-1609347dbbe5 · inbound
Blockchain Network Analysis using Quantum Inspired Graph Neural Networks & Ensemble Models How Robust is Google's Bard to Adversarial Image Attacks?
Reference 3
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 57f1cbdc-0e67-4dba-89fb-280b33986645 · inbound
Empowering Multimodal LLMs with External Tools: A Comprehensive Survey How Robust is Google's Bard to Adversarial Image Attacks?
Reference 222
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 48fac66d-f646-488d-8871-08488efd4c13 · inbound
On Surjectivity of Neural Networks: Can you elicit any behavior from your model? How Robust is Google's Bard to Adversarial Image Attacks?
Reference 17
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation b9798a55-6502-4a83-9d66-1fb0777b9aad · inbound
VISOR++: Universal Visual Inputs based Steering for Large Vision Language Models How Robust is Google's Bard to Adversarial Image Attacks?
Reference 3
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation b1d7631d-f54d-427d-a6df-e24c31f22c16 · inbound
Contrastive Spectral Rectification: Test-Time Defense towards Zero-shot Adversarial Robustness of CLIP How Robust is Google's Bard to Adversarial Image Attacks?
Reference 2023
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 2bae9e10-95eb-4f38-933a-b7f15bcf9762 · inbound
Universal Adversarial Attacks against Closed-Source MLLMs via Target-View Routed Meta Optimization How Robust is Google's Bard to Adversarial Image Attacks?
Reference 3
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation c044521e-4429-4c7a-8a05-06b9c5f725fa · inbound
Safety Alignment as Continual Learning: Mitigating the Alignment Tax via Orthogonal Gradient Projection How Robust is Google's Bard to Adversarial Image Attacks?
Reference 7
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation 9c0e6acb-57cf-44da-9229-264e8654e016 · inbound
Grounding-Driven Attack: Improving Encoder-based Adversarial Transferability against Large Vision-Language Models How Robust is Google's Bard to Adversarial Image Attacks?
Reference 13
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 53d0f926-60b8-4177-85f5-47de7a482584 · inbound
Beyond Standard Benchmarks: A Systematic Audit of Vision-Language Model's Robustness to Natural Semantic Variation Across Diverse Tasks How Robust is Google's Bard to Adversarial Image Attacks?
Reference 9
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation c6d7064b-edcc-473f-9ad8-d105eea83a6d · inbound
Turing Test on Screen: A Benchmark for Mobile GUI Agent Humanization How Robust is Google's Bard to Adversarial Image Attacks?
Reference 42
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation 20d236fa-b5b4-41bc-ac5a-c1bd68724170 · inbound
One Perturbation, Two Failure Modes: Probing VLM Safety via Embedding-Guided Typographic Perturbations How Robust is Google's Bard to Adversarial Image Attacks?
Reference 5
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation 08c6da3e-2e00-4d3d-beaa-5f1a43258ead · inbound
Catching the Infection Before It Spreads: Foresight-Guided Defense in Multi-Agent Systems How Robust is Google's Bard to Adversarial Image Attacks?
Reference 9
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation d8a8d895-2175-424c-8cff-33f32f044ff6 · inbound
Catching the Infection Before It Spreads: Foresight-Guided Defense in Multi-Agent Systems How Robust is Google's Bard to Adversarial Image Attacks?
Reference 9
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation c4064cd7-94a0-4bba-b10a-0f8ad332a365 · inbound
Catching the Infection Before It Spreads: Foresight-Guided Defense in Multi-Agent Systems How Robust is Google's Bard to Adversarial Image Attacks?
Reference 9
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation d98c9a77-0b92-4fa6-a6c0-e5c465ad64dc · inbound
Hard to Read, Easy to Jailbreak: How Visual Degradation Bypasses MLLM Safety Alignment How Robust is Google's Bard to Adversarial Image Attacks?
Reference 40
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation e91af393-e689-47fa-93a8-d85c2ca21834 · inbound
Guaranteed Jailbreaking Defense via Disrupt-and-Rectify Smoothing How Robust is Google's Bard to Adversarial Image Attacks?
Reference 46
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation 61444bc2-f1bd-4862-a947-847bd1befac7 · inbound
SafeSteer: A Decoding-level Defense Mechanism for Multimodal Large Language Models How Robust is Google's Bard to Adversarial Image Attacks?
Reference 15
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation 230dfffd-57e1-488a-bd7f-dc9d2ae6785a · inbound
Attention Hijacking: Response Manipulation Across Queries in Vision-Language Models How Robust is Google's Bard to Adversarial Image Attacks?
Reference 11
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation e38fb1bd-8314-4a26-b4d7-bb29cb0ae5e9 · inbound
DarkLLM: Learning Language-Driven Adversarial Attacks with Large Language Models How Robust is Google's Bard to Adversarial Image Attacks?
Reference 12
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation 6236a050-80fa-44b6-9f30-d0e05e6c610c · inbound
DMN: A Compositional Framework for Jailbreaking Multimodal LLMs with Multi-Image Inputs How Robust is Google's Bard to Adversarial Image Attacks?
Reference 33
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation c3736c71-022c-4ebe-ab92-701ef8721148 · inbound
REFLECTOR: Internalizing Step-wise Reflection against Indirect Jailbreak How Robust is Google's Bard to Adversarial Image Attacks?
Reference 50
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation 9b6aff5d-4824-462f-9766-6000b583a986 · inbound
Frequency-Domain Regularized Adversarial Alignment for Transferable Attacks against Closed-Source MLLMs How Robust is Google's Bard to Adversarial Image Attacks?
Reference 7
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation 7176d271-9528-4a1d-af55-a273d94059b4 · inbound
Unveiling the Fragility of Vision-Language Models: Multi-Modal Adversarial Synergy via Texture-Constrained Perturbations and Cross-Modal Optimization How Robust is Google's Bard to Adversarial Image Attacks?
Reference 1
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation 60ce9223-c0d2-443b-a3a1-bd6eaea06829 · inbound
MLingualFC: Evaluating Jailbreak Vulnerabilities in Multilingual Vision-Language Models How Robust is Google's Bard to Adversarial Image Attacks?
Reference 102
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation ae37be47-fcbc-4caa-8d76-c8d91acfe061 · inbound
Unveiling Privacy Risks in Multi-modal Large Language Models: Task-specific Vulnerabilities and Mitigation Challenges How Robust is Google's Bard to Adversarial Image Attacks?
Reference 84
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation f4acd54c-a215-4805-a3ab-068c58c96969 · inbound
REALM: A Unified Red-Teaming Benchmark for Physical-World VLMs How Robust is Google's Bard to Adversarial Image Attacks?
Reference 8
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation 394c9a55-2e2d-4187-8c94-40c0ebe07590 · inbound
Steal the Patch Size: Adversarially Manipulate Vision-Language Models How Robust is Google's Bard to Adversarial Image Attacks?
Reference 30
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation 81fcb0aa-cfa2-4775-a5ff-1298bcc2e682 · inbound
On Adversarial Vulnerability of Vision-Language Models through the Lens of Intermediate Spectral Subspaces How Robust is Google's Bard to Adversarial Image Attacks?
Reference 13
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation d8af849a-9f06-4645-b272-1e94bbc19e24 · inbound
3D FaceShell: Attribute Transfer in 3D Face Avatars as a VLM Defense Mechanism How Robust is Google's Bard to Adversarial Image Attacks?
Reference 6
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 72348382-e4f1-4b55-a73a-4db267e12b10 · inbound
Dual Adversarial Fine-tuning for Enhancing Robustness of Large Vision Language Model How Robust is Google's Bard to Adversarial Image Attacks?
Reference 13
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation a8ef4c8d-5344-4a18-abd2-5aa8bbb13338 · inbound
GeoThreat: Transferable Targeted Adversarial Attacks on Large Vision-Language Models for Remote Sensing Image Interpretation How Robust is Google's Bard to Adversarial Image Attacks?
Reference 46
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation e850dde1-1e7e-48b8-b5fe-3c29d8735989 · inbound
Visual Token Compression Enhances Robustness of MLLMs How Robust is Google's Bard to Adversarial Image Attacks?
Reference 20
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 44fa4744-60a7-4df2-ab71-72f17dd4d8cc · inbound
Two Sides of the Same Coin: Co-Evolving Search for Cross-Task Attacks on Vision-Language Models How Robust is Google's Bard to Adversarial Image Attacks?
Reference 51
Source-reported events for the cited work
Unavailable: canonical work link unavailable.