#mlsec search results
📢 Last week, @__wunused__ presented our work on secure deserialization of pickle-based Machine Learning (ML) models at @acm_ccs 2025! #pickleball #mlsec #mlsecops #acm_ccs #brownssl #browncs
The schedule of the AISec workshop, co-located with @acm_ccs, is out! The invited talk will be held by @prateekmittal_ Website: aisec.cc #MLsec #MachineLearning #AI #adversarial #malware @adversarial_ML @trustworthy_ml @aivillage_dc
The paper submission deadline of the AISec workshop (aisec.cc), co-located with @acm_ccs, is approaching. Deadline: July 26. Few days left to submit your manuscript! #MLsec #MachineLearning #AI #adversarial #malware @adversarial_ML @trustworthy_ml @aivillage_dc
One year after… 12 events = 12 awesome guests 6.5k+ views on YouTube 500+ live attendees from 45+ countries 400+ followers We are grateful for all the exciting material brought by our amazing guests! Follow us for more ML Security stuff😉 pralab.github.io/mlsec/ #mlsec
10 days left to submit your work to the AISec workshop (hybrid, co-located with ACM CCS in Los Angeles) Deadline: July 20 Website: aisec.cc @acm_ccs #MLsec #MachineLearning #AI #adversarial @adversarial_ML #malware @trustworthy_ml @RedTeamVillage_
Would you like to understand why adversarial reprogramming works, when It fails, and how to tell the difference? Read arxiv.org/abs/2108.11673 - just published on Arxiv. #MLsec #MachineLearning #AI #adversarial #malware @adversarial_ML @trustworthy_ml @aivillage_dc
Interested in Machine Learning in Security? Join our FREE Discord Server - bit.ly/MLSecDiscord And please show some love with a "Like" or "Retweet" THANK YOU! #InfoSec #CyberSecurity #MLSec
We are pleased to announce that Tom Goldstein (@tomgoldsteincs) will hold the invited talk at the AISec workshop (aisec.cc), co-located with @acm_ccs. #MLsec #MachineLearning #AI #adversarial @adversarial_ML @trustworthy_ml @aivillage_dc @RedTeamVillage_
The second lecture of the course "Machine Learning Security" is on YouTube: youtu.be/hC1l4MaykzU Topic: Adversarial Examples and defenses. Lecturer: @biggiobattista, @zangobot #MLSec #MachineLearning #AI #adversarial #Malware @adversarial_ML @trustworthy_ml @aivillage_dc
We've just published the first lesson of the short course "Machine Learning Security" on YouTube: youtu.be/5wOWcWepktM github.com/unica-mlsec/ml… #MLsec #MachineLearning #AI #adversarial #malware @adversarial_ML @trustworthy_ml @aivillage_dc
github.com
GitHub - unica-mlsec/mlsec: PhD/MSc course on Machine Learning Security (Univ. Cagliari)
PhD/MSc course on Machine Learning Security (Univ. Cagliari) - unica-mlsec/mlsec
We are excited to present a new event in our seminar series on ML Security! We will host Fabio Brau (@ScuolaSantAnna ) on January 12th, 2023, at 4 PM CET. Free registration: eventbrite.com/e/machine-lear… @adversarial_ML @trustworthy_ml @aivillage_dc @RedTeamVillage_ #mlsec
The fourth lecture of the course "Machine Learning Security," is available: youtu.be/-rUU2TzNmfk Topic: Countering Evasion and Poisoning. Lecturer: @biggiobattista @KathrinGrosse #MLSec #MachineLearning #AI #adversarial #Malware @adversarial_ML @trustworthy_ml @aivillage_dc
The third lecture of the course, "Machine Learning Security," is now on YouTube: youtu.be/iI3sI9xYOgc Topic: Adversarial Examples and defenses (second part). Lecturer: @zangobot #MLSec #MachineLearning #AI #adversarial #Malware @adversarial_ML @trustworthy_ml @aivillage_dc
Really happy to be here at @dagstuhl with @maurapintor and @biggiobattista presenting our recent research on the aspects we think are broken in #poisoning and #evasion literature. #MLsec #AI #adversarial #security #DataPoisoning @adversarial_ML @aivillage_dc @RedTeamVillage_
Dirty laundry in #MLsec: we conflate accuracy in detecting polymorphic variants of known malware, with accuracy in detecting entirely new malware. If we unbundled these problems, we'd reveal that our systems are far less intelligent / resilient to change than has been suggested.
The comments of Oliver Rochford @OliverRochford and other AI experts on the topic of security and trustworthiness of AI are in the recent “The Road to Secure and Trusted AI” report #AdversarialAI #AIsec #MLsec #TrustedAI Read: adversa.ai/report-secure-…
📢 Last week, @__wunused__ presented our work on secure deserialization of pickle-based Machine Learning (ML) models at @acm_ccs 2025! #pickleball #mlsec #mlsecops #acm_ccs #brownssl #browncs
At @nohatcon the common thread is ML for networks: @vesnafvr's “Poison in the Wires” on visualizing data poisoning + Ermes Pennucci & Antonio Repola's “Go with the (net)flow” on fixing ML netflow analytics. #mlsec #networksecurity #nohat2025 #cybersecurity
Neurosymbolic AI: Bridging Neural Networks and Symbolic Reasoning for Smarter Systems netguru.com/blog/neurosymb… #aisoc #mlsec
Important work on emergent misalignment. 🛡️ The sooner we can detect unsafe patterns in large models, the faster we can iterate towards trustworthy AGI. Curious to see how this framework scales across modalities. Thoughts? #AISafety #MLSec
Understanding and preventing misalignment generalization Recent work has shown that a language model trained to produce insecure computer code can become broadly “misaligned.” This surprising effect is called “emergent misalignment.” We studied why this happens. Through this…
New on the AI Engineering Podcast: HiddenLayer’s Kasimir Schulz breaks down how to secure ML models from shadow logic & model ancestry to scanning for threats. -Scan models -Trace neural subgraphs -Know your attack surface Listen here: podcasts.apple.com/us/podcast/pro… #AIsec #MLSec #AI
🤖 AI + Cybersecurity From anomaly detection to phishing automation — AI is reshaping the threat landscape for both attackers & defenders. Are you ready for what's next? 🔗 Explore the future of AI in security: buff.ly/RT9P0ig #AIinCybersecurity #ThreatDetection #MLSec…
Cybersecurity is a domain desperately in need of adopting quantitative principles at its core if it’s going to stand any chance at making a difference. #quantsecurity #mlsec
What is #MLSecOps? In this overview, @ProtectAICorp CISO, Diana Kelley, shares helpful diagrams and discusses building security into MLOps workflows by leveraging DevSecOps principles: bit.ly/46ydY37 #aisecurity #mlsec #airisk #cybersecurity #ProtectAI
community.mlsecops.com
What is MLSecOps? - Video | MLSecOps Community
Join cybersecurity expert and CISO, Diana Kelley, as she provides an overview of the Machine Learning Security Operations (MLSecOps) framework.
🚨 Critical MLflow 1.11.0 vulnerability (CVE-2024-37061) allows remote code injection in MLproject handler. Upgrade to patched version ASAP to mitigate risk. #CyberSecurity #MLSec
🚨 Interested in ML Security & Privacy? I'm currently looking for PhD students & a postdoc to work with me at @MBZUAI in Abu Dhabi. I also offer visiting researcher positions (fully funded) starting this August. Feel free to reach out to me to discuss! #hiring #MBZUAI #MLsec
Prompt injection is a worry, but @csitawarin's PAL attack shows LLM jailbreaks are getting scarily efficient. 🤯 If attackers gain access, it's game over. How do we balance LLM-specific attacks with traditional security in the bigger picture of #AI risk? 🤔 #MLSec #infosec
🎧The MLSecOps Podcast S2 Ep11: Practical Foundations for Securing AI Thanks for joining us, @guerilla7 ! Listen, watch, or read the transcript here: hubs.ly/Q02x5g3G0 #MLSecOps #aisecurity #MLSec #airisk #machinelearning #ai #llm #genai #cybersecurity #protectai
mlsecops.com
Practical Foundations for Securing AI
In this episode, we delve into security for AI and ML with our guest Ron F. Del Rosario, Chief Security Architect and AI/ML Security Lead at SAP ISBN.
What is #MLSecOps? In this overview, @ProtectAICorp CISO, Diana Kelley, shares helpful diagrams and discusses building security into MLOps workflows by leveraging DevSecOps principles: bit.ly/3VM79Yp #aisecurity #mlsec #airisk #cybersecurity #ProtectAI
youtube.com
YouTube
"What is MLSecOps?" Building security into MLOps workflows by...
Headed over to Toronto to present our work at @satml_conf! Find us (me and Tingwei) at the poster session on Wednesday and our presentation on Thursday (Session E) #satml #mlsec
Excited to finally share our SoK 'Pitfalls in Evaluating Black-Box Attacks', accepted at SaTML 2024 @satml_conf with @suyafnu, Tingwei Zhang, Jingtao Hong, @Yuantest3, @UdacityDave ! 🧵👇 (1/7)
We shipped this on 1/24/24. (BIML - Berryville Institute of Machine Learning) @cigitalgem @MelMitchell1 #MLsec #LLMs
The CFP of the 14th ACM workshop on Artificial Intelligence and Security (AISec), co-located with @acm_ccs, is out! Deadline: June 29. #MLsec #MachineLearning #AI #adversarial @adversarial_ML #malware
📢 Last week, @__wunused__ presented our work on secure deserialization of pickle-based Machine Learning (ML) models at @acm_ccs 2025! #pickleball #mlsec #mlsecops #acm_ccs #brownssl #browncs
We shipped this on 1/24/24. (BIML - Berryville Institute of Machine Learning) @cigitalgem @MelMitchell1 #MLsec #LLMs
We have postponed the paper submission deadline of the AISec workshop, co-located with @acm_ccs, to July 6. aisec.cc The chairs: @ambrademontis, @surrealyz, and Nicholas Carlini #MLsec #MachineLearning #AI #adversarial #malware @adversarial_ML @trustworthy_ml
The schedule of the AISec workshop, co-located with @acm_ccs, is out! The invited talk will be held by @prateekmittal_ Website: aisec.cc #MLsec #MachineLearning #AI #adversarial #malware @adversarial_ML @trustworthy_ml @aivillage_dc
Considering the current uncertainty and limitations, we have rescheduled AISec aisec.cc as a virtual event and postponed the paper submission deadline to July 26. @acm_ccs #MLsec #MachineLearning #AI #adversarial #malware @adversarial_ML @trustworthy_ml
The paper submission deadline of the AISec workshop (aisec.cc), co-located with @acm_ccs, is approaching. Deadline: July 26. Few days left to submit your manuscript! #MLsec #MachineLearning #AI #adversarial #malware @adversarial_ML @trustworthy_ml @aivillage_dc
10 days left to submit your work to the AISec workshop (hybrid, co-located with ACM CCS in Los Angeles) Deadline: July 20 Website: aisec.cc @acm_ccs #MLsec #MachineLearning #AI #adversarial @adversarial_ML #malware @trustworthy_ml @RedTeamVillage_
Attended a good training session on ML for security and security for ML at @nullcon #CyberSecurityAwareness #cyber #mlsec #secml #infosec #NullconGoa2022 #cdac #DataScience #malware #dataprotection #testing #Training #Prediction #mlsecurity
Scott Coull on using CNN for feature engineering in malware analysis looks important to me. #camlis2018 #mlsec
At @nohatcon the common thread is ML for networks: @vesnafvr's “Poison in the Wires” on visualizing data poisoning + Ermes Pennucci & Antonio Repola's “Go with the (net)flow” on fixing ML netflow analytics. #mlsec #networksecurity #nohat2025 #cybersecurity
With the goal of increasing the size of their #MLSEC #Platinum endorsed #biotech program to provide more students w/tools needed for the #lifescience industry, @middlesex_cc has chosen NEL to partner w/@JacobsConnects to design & build their new facility. web.newenglandlab.com/news/recently-…
Really happy to be here at @dagstuhl with @maurapintor and @biggiobattista presenting our recent research on the aspects we think are broken in #poisoning and #evasion literature. #MLsec #AI #adversarial #security #DataPoisoning @adversarial_ML @aivillage_dc @RedTeamVillage_
The submissions for the Adversarial Machine Learning track of the International Conference on Machine Learning and Cybernetics, Australia, July 2023, are open Submission Deadline: 20th March #MLsec #MachineLearning #AI #adversarial @adversarial_ML @trustworthy_ml @aivillage_dc
Would you like to understand why adversarial reprogramming works, when It fails, and how to tell the difference? Read arxiv.org/abs/2108.11673 - just published on Arxiv. #MLsec #MachineLearning #AI #adversarial #malware @adversarial_ML @trustworthy_ml @aivillage_dc
I am so excited about our recent work and am so proud of my brilliant students who did the work (Ying Meng and Jianhai Su). We have been working day-and-night over the past 6 months 🙂 #MachineLearning #MLSec Paper: arxiv.org/pdf/2001.00308… Code: github.com/softsys4ai/ath… (1/n)
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