One of the longest-running computer security conferences. This year‘s edition: Annual Computer Security Applications Conference (ACSAC) ACSAC 2025 | Dec 8-12
Waikiki, Hawaii, USA
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📣 The program for #ACSAC2026 is now available on the conference website 📣 acsac.org/2026/program/
If anything looks interesting to you, early bird registration is still possible until 16th November 2026: acsac.org/2026/registration/
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📣 GOOD NEWS: The deadline for the Cybersecurity Artifacts Competition and Impact Award has been extended to 25th October 2026 (AoE). In case you have not yet submitted your artifact to the #ACSAC2026 use your chance: acsac.org/2026/submissions/a…
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For this #ThrowbackThursday, we will look at #ACSAC2025's IoT and Smart-Home Security session. The links in this thread will lead you to the paper pdfs and the slide decks, so be sure to check them out! 1/5
ALT Looking back at ACSAC 2025
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Then followed Roshandel & Egele's "Zeus-IoT: Comprehensive Code Signing to Prevent IoT Device Weaponization" showing how static allowlisting blocked 81152 IoT malware samples with 100% prevention. (acsac.org/2025/program/final…) 4/5
#IoTSecurity #MalwareDetection #MalwarePrevention
ALT Roshandel & Egele's "Zeus-IoT: Comprehensive Code Signing to Prevent IoT Device Weaponization"
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The final presentation was Wang et al.'s "InteractionShield: Harnessing Event Relations for Interaction Threat Detection and Resolution in Smart Homes" on detecting and resolving IoT rule conflicts in smart homes. (acsac.org/2025/program/final…) 5/5
#IoTSecurity #SmartHomeSecurity
ALT Wang et al.'s "InteractionShield: Harnessing Event Relations for Interaction Threat Detection and Resolution in Smart Homes"
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Today is the day to get your submission ready for the Workshop on AI for Cyber Threat Intelligence (WAITI). The deadline is TODAY (AoE). All infos in the cfp: waiti-workshop.github.io/ind…
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📣 Friendly reminder that the deadline for #ACSAC2026's Artifacts Competition is on 17th October 2026 (AoE). It is open to cybersecurity artifacts previously published in all peer-reviewed venues (conferences, journals), both in academia and industry: acsac.org/2026/submissions/a…
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For this #ThrowbackThursday, we will look at #ACSAC2025's Microarchitectural Attacks and Side-Channels session. The links in this thread will lead you to the paper pdfs and the slide decks, so be sure to check them out! 1/6
ALT Looking back at ACSAC 2025
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The session continued with Mahmod & Hicks's "Retain The Date: Detecting Recycled Chips in the Supply Chain through SRAM's Data Retention Behavior" on detecting recycled ICs via SRAM aging, reaching 97% accuracy. (acsac.org/2025/program/final…) 5/6
#SupplyChainSecurity #RecycledICs
ALT Mahmod & Hicks's "Retain The Date: Detecting Recycled Chips in the Supply Chain through SRAM's Data Retention Behavior"
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The final talk was Hellemans et al.'s "CarDS - Controller Area Network and Automotive Ethernet Realistic Data Set" on a realistic IVN dataset with CAN and AE attack traces. (acsac.org/2025/program/final…) 6/6
#VehicleSecurity #IntrusionDetection
ALT Hellemans et al.'s "CarDS - Controller Area Network and Automotive Ethernet Realistic Data Set"
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📣 Friendly Reminder that the Workshop on AI for Cyber Threat Intelligence (WAITI) is still accepting submissions until 12th October 2026. It will be held as a pre-conference workshop at #ACSAC2026. You can find all details in the CfP: waiti-workshop.github.io/
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Two more weeks until the deadline for the #ACSAC2026 Cybersecurity Artifacts Competition and Impact Award: 17th Oct 2026. It is open to cybersecurity artifacts published in all peer-reviewed venues, both in academia and industry, not just at ACSAC. acsac.org/2026/submissions/a…
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For this #ThrowbackThursday, we will look at #ACSAC2025's Malware and Intrusion Detection session. The links in this thread will lead you to the paper pdfs and the slide decks, so be sure to check them out! 1/6
ALT Looking back at ACSAC 2025
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Fourth up was Montaruli et al.'s "One Detector Fits All: Robust and Adaptive Detection of Malicious Packages from PyPI to Enterprises" on a robust, adaptable detector that uncovered 346 malicious packages. (acsac.org/2025/program/final…) 5/6
#PythonSecurity #MaliciousPackages
ALT Montaruli et al.'s "One Detector Fits All: Robust and Adaptive Detection of Malicious Packages from PyPI to Enterprises"
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Ending the session, we saw Alam et al.'s "R+R: Revisiting Static Feature-Based Android Malware Detection using Machine Learning" show simpler, well-tuned models can beat neural nets. (acsac.org/2025/program/final…) 6/6
#AndroidMalware #MalwareDetection #ML #AI
ALT Alam et al.'s "R+R: Revisiting Static Feature-Based Android Malware Detection using Machine Learning"
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